SMART ANTENNA CDMA WIRELESS COMMUNICATION SYSTEM

Abstract: A TDD antenna array S-CDMA system for increasing the capacity and quality of wireless communications is disclosed. By simultaneous exploiting the spatial and code diversities, high performance communications between a plurality of remote terminals and a base station is achieved without sacrificing system flexibility and robustness. The time-division-duplex mode together with the inherent interference immunity of S-CDMA signals allow the spatial diversity to be exploited using simple and robust beamforming rather than demanding nulling. Measurements from an array of receiving antennas at the base station are utilized to estimate spatial signatures, timing offsets, transmission powers and other propagation parameters associated with a plurality of S-CDMA terminals. Such information is then used for system synchronization, downlink beamforming, as well as handoff management. In an examplary embodiment, the aforementioned processing is accomplished with minimum computations, thereby allowing the disclosed system to be applicable to a rapidly varying environment. Among many other inherent benefits of the present invention are large capacity and power efficiency, strong interference/fading resistance, robustness power control, and easy hand-off.

Description: TITLE: SMART ANTENNA CDMA WIRELESS COMMUNICATION SYSTEM BACKGROUND OF THE INVENTION This invention relates in general to the field of wireless communication systems, and more particularly to spread spectrum CDMA communications with antenna arrays The communication infrastructure of future wireless services will involve high-speed networks, central base stations, and various nomadic mobile units of different complexity that must mteroperate seamlessly In addition to standard issues such as capability and affordabihty, a mobile wireless network also emphasizes survivability against fading and interference, system flexibility and robustness, and fast access Innovative communication technologies are strategically important to the realization of high performance Personal Communications Services (PCS) systems (D Goodman, "Trends in Cellular and Cordless Communications", IEEE Communications Magazine, June 1991 ) In PCS and other wireless communication systems, a central base station communicates with a plurality of remote terminals Frequency-division multiple access (FDMA) and Time-division multiple access (TDMA) are the traditional multiple access schemes to provide simultaneous services to a number of terminals. The basic idea behind FDMA and TDMA techniques is to slice the available resource into multiple frequency or time slots, respectively, so that multiple terminals can be accommodated without causing interference Contrasting these schemes which separate signals in frequency or time domains. Code-division multiple access (CDMA) allows multiple useis to share a common frequency and time channel bv using coded modulation In addition to bandwidth efficiencv and interference immunity, CDMA has shown real promise in wireless applications for its adaptability to dynamic traffic patterns in a mobile environment Because of these intrinsic advantages, CDMA is seen as the generic next-generation signal access strategy for wireless communications Howevei, current commercial CDMA technologies, e g , the IS-95 standaid developed by Qualcomm, still have substantial practical problems, the most important being a stringent requirement foi accurate and rapid control of a terminals * transmission powei Although the power control problem may be alleviated by the use of synchronous CDMA (S-CDMA) techniques, this introduces other problems in, e g , synchronization For more information, please refer to M K Simon et al . "Spread Spectrum Communications Handbook", McGraw-Hill, 1994, Bustamante et al . "Wireless Direct Sequence Spread Spectrum Digital Cellular Telephone System, U S Pat No 5,375,140, 12/1994. Schilling, " Synchronous Spread-Specturm Communications System and Method". U S Pat No 5,420,896. 5/1995 It is well known that given a fixed amount of frequency allocation, there exists an upper limit on the number of channels available for reliable communications at a certain data rate Therefore, the aforementioned schemes can only increase the system capacity and performance to a certain extent To exceed this limit, additional resources need to be allocated The most recent attempts to increase system capacity and performance have attempted to exploit spatial diversities The new dimension, I e , space, when properly exploited by the employment of multiple antennas, can in principle lead to a significant increase in the svstem capacity (S Andersson et al . "An Adaptive Array foi Mobile Communication Systems,"IEEE Trans on Veh Tec , Vol 4, No 1 , pp 230-236, 1991. J Winters et al , "The Impact of Antenna Diversity on the Capacity of Wireless Communication Systems, IEEE Tians on Communications, Vol 42, No 2/3/4, pp 1740-1751 , 1994 ) Other potential benefits include lower power consumption, higher immunity against fading and interference, more efficient handoff, and better pπvacy A wireless communications svstem that utilizes adaptive antenna arrays is hereafter referred to as a Smart Antenna System Despite of its promises however, many practical problems exist in smart antenna applications For many reasons and mostly due to limitations of the existing wireless protocols, it is generally difficult to integrate the state-of-the-art antenna array technologies into current systems Sectoπzation. l e , partitioning a coverage area into sectors by the use of directive antennas, is one of the straightforward means of exploiting the spatial diversity for capacity and performance advances There have been a significant number of studies and patents in this area including S Hattoπ, et al , "Mobile Communication System," U S Pat No 4,955,082, 1/1989, T Shimizu, et al , " High Thioughput Communication Method and System for a Digital Mobile Station When Crossing a Zone Boundary Duπng a Session/' U S Pat No 4,989,204, 12/1989, V Graziano, "Antenna Array for a Cellular RF Communications System." U S Pat No 4.128 740. 13/1977 The sectoπzation approaches, however simple, have fundamental difficulties in handling the everchanging traffic pattern As a result, sectoπzation offers only a limited capacity increase at the expense of more handoffs and complicated administration To accommodate the time-varying nature of mobile communications, adaptive antenna array technologies have been investigated, see e g , K Yamamoto, "Space Diversify Communications Svstem for Multi-Direction Time Division Multiplex Communications", U S Pat No 4,599,734, 4/1985. D F Bantz, "Diversity Transmission Strategy in Mobile/Indoor Cellular Radio Communications". U S Pat No 5,507,035. 4/1993, C Wheatley, "Antenna System for Multipath Diversity m an Indoor Microcellular Communication System", U S Pat No 5,437,055, 7/1995, The most aggressive schemes, otten referred to as Spatial-Division Multiple Access (SDMA), allow multiple terminals to share one conventional channel (frequency, time) through different spatial channels, thereby multiplying the system capacity without additional frequency allocation (S Andersson et al , "An Adaptive Array for Mobile Communication Systems,"IEEE Trans on Veh Tec , Vol 4 No 1 , pp 230-236, 1991. R Roy et al , "Spatial Division Multiple Access Wireless Communication Systems", U S Pat No 5,515,378, 4/1996, U S Cl ) The kev operations in SDMA involve spatial parameter estimation, spatial multiplexing for downlink (from the base station to remote terminals) and demultiplexing for uplink (from remote terminals to the base station) Since most of the current wireless systems adopt Frequency-Division-Duplex (FDD) schemes, l e , different earners for uplink and downlink (e g , AMPS, IS-54, GSM, etc ), basic physical principles determine that the uplink and downlink spatial charactenstics may differ substantially Consequently, spatial operations in most SDMA schemes rely on direction-of-arnval (DOA) information of the terminals More specifically, spatial multiplexing/demultiplexing is performed by separating co-channel signals at different directions While theoretically sound, there are critical practical problems with the current SDMA technologies, the most important ones being (l) computationally demanding algorithms for DOA and other spatial paiametei estimation, (n) a stringent requirement for calibiated system hardware, (in) peiiormance susceptible to motions and hardware/software imperfections The first problem may be alleviated m a time -division-duplex (TDD) system (e g , CT-2 and DECT) where uplink and downlink have the same propagation patterns In this case, a terminal's spatial signature, 1 c , the antenna array response to signals tiansmitted from the terminal, can be utilized in SDMA - no individual multipath parameters is required Nevertheless other key problems remain These problems may vitiate the usefulness ot SDMA in wireless, and especially mobile communication networks It is worth pointing out that the above problems are not inherent to antenna arrays, lather, thev are due to the rigid exploitation of the spatial diversity in order to accommodate the existing wireless protocols The spatial diversity, which are highly unstable in nature, cannot provide reliable channels foi communications Any attempt to add smart antennas to existing systems can only leads to sub-optimum results From a svstem viewpoint, there is an evident need for a specially designed scheme which utilizes start-of-the-art wireless technologies including the smart antennas in a unified fashion The present invention meets this requirement and provides solutions for all the aforementioned difficulties SUMMARY OF THE INVENTION The present invention compπses a wireless communications system which integrates antenna aπ avs with synchronous CDMA techniques and time division duplexing (TDD) The resulting scheme is hereafter referred to as Smart Antenna CDMA (SA-CDMA) The present invention provides numerous advantages over prior art systems and methods, including improved system capacity and performance The four design issues for wireless systems are flexibility, quality, capacity and complexity SA-CDMA is a novel scheme that addresses all these issues The SA-CDMA system of the present invention possesses most of the desirable features of prior antenna array systems, without introducing hardware and computationally demanding operations which fundamentally limit the applicability ot pπoi techniques m a dynamic mobile environment Briefly, m accordance with the present invention, an SA-CDMA system comprises a multichannel transceiver array with a plurality of antennas and a plurality of transceivers The multichannel transceiver array is adapted for receiving combinations of multichannel uplink S-CDMA signals from the terminals and transmitting multichannel downlink S-CDMA signals towards the terminals The multichannel transceiver array operates in a time division duplex manner, 1 e , is adapted for receiving (RX) combinations of multichannel uplink S-CDMA signals from the terminals duπng a first time frame and is adapted for tiansmitting (TX) multichannel downlink S-CDMA signals towards the terminals duπng a second time frame The svstem further mcludes one or more digital processors (DSPs) or processing units and associated memory for performing the various uplink and downlink communication functions The one or more processors are coupled to the multichannel transceiver array The one or more processors execute code and data fiom the memory to implement the communication functions, such as a spatial processor, a despreader, a modulator, and a demodulator, among others The spatial processor is coupled to the multichannel transceiver array and determines spatial signature estimates associated with the terminals from the combinations of multichannel uplink S-CDMA signals The spatial processor also calculates uplink and downlink beamforming matrices based on the spatial signature estimates The demodulator is coupled to the spatial processor and the multichannel transceiver array and determines estimates of uplink messages from the terminals from the combinations of multichannel uplink S- CDMA signals The modulator generates the multichannel downlink S-CDMA signals to transmit messages destined for the terminals Each of the terminals includes a unique PN code sequence accoiding to a CDMA access scheme To obtain a spatial signature estimate for each terminal, the system utilizes a despreader to despread the combination of multichannel uplink S-CDMA signals The depreader uses a respective terminal's PN code sequence to depread the combination of multichannel uplink S-CDMA signals to obtain a multichannel symbol sequence The spatial processor identifies a symbol sequence from the multichannel symbol sequence with the maximum signal power and further operates to normalize the multichannel symbol sequence with respect to the identified symbol sequence with the maximum signal power to obtain a normalized multichannel symbol sequence The average of the normalized multichannel symbol sequence is then calculated as the spatial signature estimate In another embodiment, instead of identifying the sequence with the maximum energy and normalizing, the spatial processor forms a data convaπance matrix of the multichannel svmbol sequence and estimates the pnncipal eigenvector of the resulting data convaπance matrix as the spatial signature estimate In addition to providing essential parameters for power control and synchronization, the spatial processor can also provide DOA estimates when required The DOA information, together with the heretofore unavailable delay estimates which reflect distance between the terminals and the base station, are utilized in soft handoff and localization The above operations allow code and space diversities to be exploited simultaneously without introducing undue complexity The result is a significant advance in capacity and quality of communications, especially in a rapidlv varying mobile system Therefore, the present invention has a number of basic properties and benefits which are summarized below 1 The SA-CDMA system of the present invention is an efficient and reliable means for utilizing both spatial and code diversities in wireless communications The new scheme accounts for the dynamic natuie of the spatial channels and achieves optimum performance enhancement with minimum complexity 2 TDD operations allow downlink beamforming to be performed straightforwardly based on spatial signatures lather than individual multipath parameters, thus eliminating the need for demanding DOA estimation and association 3 The interference resistance of S-CDMA signals and the spatial selectivity of smart antennas complement each other, thus providing supenor resistance against hardware and algorithm imperfections and relaxing the stnngent requirements in power control 4 In additional to DOA information, distance information of each subscriber is also available at the base station hence permitting realization of "Baton" handoff and localization BRIEF DESCRIPTION QF THE DRAWINGS The features and advantages of the present invention will become more apparent from the detailed description set forth below when taken in con|ectιon with the diawmgs in which reference characters correspond throughout and wherein Fig 1 is a graphic illustration of the prior sectoπzation antenna array system and its limitations Fig 2 is a graphic illustration of the prior SDMA wireless system and its limitations Fig 3 illustrates how the disclosed SA-CDMA successfully ovei comes the difficulties of the pnor art Fig 4 illustrates the mam function modules of the disclosed SA-CDMA system for communicate message data to/from a plurality of terminals Fig 5 illustrates one embodiment of the baseband processors m accordance with the invention Fig 6 is a block diagram of one embodiment of the SA-CDMA svstem in accordance with the invention Fig 7 is a block diagram of one embodiment of a spatial processor in accordance with the invention Fig 8 illustrates one embodiment of a modulator of the disclosed SA-CDMA svstem in accoi dance with the present invention Fig 9 illustrates one embodiment of a demodulator of the disclosed SA-CDMA system in accordance with the present invention Fig 10 diagrams one embodiment of SA-CDMA operations in an uplink and a downlink frames in accordance to the present invention Fig 11 diagrams one embodiment of spatial signature estimation operations in accordance to the present invention Fig 12 diagrams another embodiment of spatial signature estimation operations according to the piesent invention DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT Fig 1 shows a wireless svstem according to the prior art with sectoπzed antennas and illustrates its disadvantages The pnor art svstem includes a plurality of terminals 10, 12 and 14, I e . a plurality of subscπbers who possess terminals for wireless communication The system also includes a base station compnsing a multichannel transceiver an ay 40 and baseband processors (not shown) Bv exploiting the fact that signals s ] , s i ', s 2 and s 3 from different terminals arπve at the base station from different paths 20, 22, 24 and 26 within certain sectors, the multichannel transceiver array (40) is configured to partition a coverage area into multiple sectors The directional transmission and reception within each sector results in lowei power consumption, higher interference suppression, and highei capacity In principle, the performance enhancement is proportional to the number of sectors that formed However, this is not always true m practice since multipath reflections stemmed from one terminal (e g . j, fiom path 24 and Λ ,' from path 20 leflected from structure 28) may not be in the same sector, and physical pπnciples prohibit the design of exceedingly small sectors Furthermoi e. a terminal (12) that is located near the boundary of two sectors may suffer from sever degradation in performance Foi the same reason the hand-off problem will also exacerbated if the application mvolves mobile terminals For the same scenaπo, Fig 2 illustrates the basic principles of an SDMA system whei e co-channel signals are communicated between the remote terminals (10,12,14) and the base station multichannel transceiver array (40) at different directions The intent of the figure is to show that when two terminals (12,14) are closelv located, it becomes practically mfeasible to estimate all the DOAs and maintain spatial separation of co- channel signals (22,24) above a predetermined level In addition, even if all the DOAs can be resolved, association of multipath reflections from a same source is non- trivial Fig 3 illustrates the how the system and method of the present invention overcomes the aforementioned problems As discussed further below, the present ivention comprises a Time Division Duplex (TDD) antenna array Synchronous Code Division Multiple Access (S-CDMA) communications system for communicating message data to/from a plurality of terminals In accordance with the disclosed SA-CDMA scheme, orthogonal codes are assigned to the remote terminals (10,12, 14) so that each signal possesses inherent resistance against interference Similar to the SDMA, spatial beamforming is utilized in the communications between the multichannel transceiver arrav (40) and the terminals (10,12,14) One key difference however, is that, due to the CDMA access scheme being used, co-channel signals do not have to be fully separable in space For the purpose of illustration, different line types are use to represent overlapped beam patterns with distinctive code words Contrasting to the prior SDMA scheme, co-channel signals at one terminal aie allowed in SA-CDMA because of the interference immunity provided by CDMA Consequently, the requirements of spatial operations aie significantly relaxed By appropriate design of beamforms to suppress rather than to eliminate interference, substantial advances in performance can be achieved with robust and low complexity operations The capability to suppress interference and provide for reliable performance enhancement using antenna arrays is unique to the SA-CDMA invention Fig 4 is a block diagram illustrating the main function modules of the disclosed SA-CDMA svstem according to the prefeπed embodiment of the invention As mentioned above, the present invention comprises a Time Division Duplex (TDD) antenna amry Synchronous Code Division Multiple Access (S-CDMA) communications system for communicating message data to/ft om a plurality of terminals As shown in Fig 4, the system, also referred to as a base station, compnses a multichannel transceiver anav 40 coupled to one or more baseband processors 42 The multichannel transceiver array 40 is adapted to perform wireless communication with a plurality of terminals 1 - P The terminals 1 - P comprise remote communication units which are used by subscribers for wireless communication Thus a plurality of subscnbers who each possess a terminal can communicate in a wireless fashion Each of the terminals is configured with a unique pseudo noise (PN) signal or PN code sequence for CDMA communications The base station or svstem shown in Fig 4 also includes the PN code sequences for each of the terminals capable of communicating with the base station The baseband processors 42 further couple to the public network 54, wherem the public network includes other base stations tor communication with other terminals The public network also includes the public switched telephone network (PSTN) as well as other wired or wireless networks Thus the connection to the public network 54 enables the terminals 1 - P shown in Figure 4 to communicate w ith terminals in wireless communication with another base station, or with individuals or subscribers connected to a wired network, such as the PSTN The multichannel transceiver aπay 40 comprises a plurality of antennas and a plurality of transceivers The multichannel transceiver array 40 is adapted for receiving combinations of multichannel uplink S-CDMA signals from the terminals and transmitting multichannel downlink S-CDMA signals tow ards the terminals The multichannel transceiver array 40 is adapted foi receiving and transmitting in a time division duplex manner in other words, the multichannel transceiver array 40 is adapted for receiving the combinations of multichannel uplink S-CDMA signals from the terminals during a first time frame and is adapted for transmitting the multichannel downlink S-CDMA signals towards the terminals during a second time frame Therefoie, as shown, the SA-CDMA system is for communicating message data to/from a plurality of terminals (Terminal #1 - #P) The multichannel transceiver anay 40 realizes ladio frequency (RF) to baseband conversion by means of a plurality of coherent transceivers as in the current art Baseband processors 42 aie coupled to the multichannel transceiver aπay 40 and perform all baseband operations, such as spatial parameter estimation, uplink and downlink beamforming and CDMA modulation and demodulation, etc The baseband processors 42 aie discussed in greatei detail below The demodulated messages are routed to a public network (54), which also provides messages destined for the terminals, as is currently done Fig. 5 shows one embodiment of the baseband processors hardware In the prefened embodiment, the baseband processors 42 compnse one or more digital signal processors (DSPs) 44,46, and 48 and associated one or more memories 62, 64 and 66 The memories 62. 64 and 66 store code and data executable by the one or more DSPs 44, 46 and 48 to perform baseband functions In other words, the one or more DSPs 44, 46 and 48 execute program code stored in memory units 62,64, and 66 to realize all baseband functions. System operations are preferably administrated by a dedicated micro-controller 68 Different tasks may be realized using dedicated DSPs or by task-sharing. In one embodiment, the baseband processors 42 compnse a single DSP and a single memory In the prefened embodiment, the baseband processors 42 compnse a plurality of DSPs and a plurality of memoπes It is noted dial the baseband processing may be implemented in various other manners, such as using one or more general purpose CPUs, one or more programmed microcontrollers, discrete logic, or a combination thereof Fig. 6 shows a block diagram of one embodiment of an SA-CDMA system. As shown, the multichannel transceiver aπay 40 is coupled to provide outputs to a spatial processor 60 and a demodulator 50 The spatial processor 60 and demodulator 50 are also pieferably coupled togethei The multichannel transceiver array 40 receives input from a modulator 52 The spatial processor 60 provides an output to the modulator 52 The demodulator 50 provides an output to the public network 54. and the public network 54 in turn provides an output to the modulator 52 As noted above with respect to Fig 5, in the prefened embodiment the one or more DSPs 44,46, and 48 and associated one or more memories 62. 64 and 66 implement the vaπous baseband functions Thus in Fig 6 the spatial processor 60, demodulator 50, and modulator 52 preferably comprise one or more programmed DSPs as described above However, it is noted that one or more of the spatial processor 60, demodulator 50, and modulator 52 may be implemented in other ways, such as programmed CPUs or microcontrollers, and/or discrete logic, among other was as is known in the art Referπng again to Fig 6. during an uplink frame, the multichannel transceiver anav 40 is set to the receiving mode so that superimposed uplink signals can be downconverted to baseband The resulting combinations of multichannel uplink S-CDMA signals 70 are sent to the spatial processor 60 and the demodulator 50 The functions ot the spatial processor 60 include estimating the spatial signatures, determining uplink power and tuning offset of the terminals, and calculating the uplink and downlink beamforming matnces or vectors In the present disclosure, the term "matπces" is intended to include both matnces and vectors, and the terms vectors and matrices are used interchangeably The spatial signature estimates comprise the transfer function or transfer characteristics of a respective terminal and the multichannel transceiver array 40 The demodulator 50 and modulator 52 are coupled to the spatial processor to realize baseband beamforming and S-CDMA modulation and demodulation In particular, the mam function of the demodulator 50 is to constructively combine signals from each terminal and recover the uplink messages using uplink beamforming matnces and other information provided by the spatial processor In one embodiment of the invention, spatial processing and modulation/demodulation is realized in a batch mode - measurements 70 from the multichannel transceiver anav are not processed until all data within an uplink frame is collected In another embodiment, adaptive algonthms are used and information 74 aie exchanged continuously between the demodulator 50 and the spatial processor 60 After demodulation, the demodulated uplink messages 80 are then rounted to the public network 54 depending on the applications After the uplink frame, the multichannel transceivers are switched to the transmission mode Messages 82 destined for the terminals are obtained from the same public network 54 Downlink beamforming matrices 78 calculated based on previous spatial signature estimates are provided bv the spatial processoi 60 to the modulator 52 The modulator 52 modulates all downlink messages 82 and generates mixed multichannel downlink S-CDMA signals 72 to be transmitted by the multichannel transceiver anay 40 In one embodiment, modulation involves code modulation of each signal, followed by downlink beamforming and digital combining The resulting mixed digital signals are then applied for pulse shapmg and digital-to-analog conversion In another embodiment, code modulation, beamforming and digital combining are realized in one step using a Fast Hadamard transform, provided that Walsh orthogonal codes are utilized Yet in another embodiment, D/A conversion is performed for individual message signals intended for different terminals and an analog combiner is used for mixing the resulting signals Fig 7 is a more detailed block diagram illustrating the functional blocks comprising the spatial processor 60 The spatial processor 60 controls the uplink and downlink beamforming operations The spatial processor 60 receives inputs 76 which are measurements from the anav of receiveis In the examplarv embodiment, the spatial processor 60 also receives inputs comprising the despread multichannel symbol sequence 74 for each terminal provided by despreaders in the demodulator 52 The spatial piocessor 60 includes a spatial signature estimator 90 which is dedicated to estimate spatial signatures In one embodiment, the spatial signature ot a respective terminal is calculated as the pnncipal eigenvector of the data covanance matnx of the multichannel symbol sequence associated with the terminal In another embodiment, the symbol sequence with maximum energy is identified from the multichannel symbol sequence, and the multichannel symbol sequence is then normalized with respect to the identified symbol sequence The average of the resulting normalized multichannel symbol sequence is calculated as the spatial signature estimate In the prefened embodiment the spatial processor 60 also includes a dedicated parameter estimator 92, which estimates signal parameters such as the uplink powei and timing offset of the terminals When necessary the parametet estimator 92 also provide DOA estimates which can be used in geolocation and handoff Thus the parameter estimator 92 estimates signal parameters other than the spatial signatures The spatial processor 60 includes an RX beamforming contiollei 96 and a TX beamforming controllei 94 which are coupled to the spatial signature estimator 90 The RX beamforming controller 96 and TX beamforming controller 94 calculate the uplmk and downlink beamforming matrices The outputs ot the RX and the TX beamforming controllers 94 and 96 are then passed along to the demodulator 50 and modulator 52 for spatial beamforming In one embodiment, timing offset is estimated from the receiver outputs using correlators well-known in the prior art This is appropriate in situations where the sampling l ate is sufficiently higher than the chip rate In a second embodiment, a subspace timing estimation algorithm is used to provide high resolution estimates of the timing offsets For more information on the subspace timing estimation algoπthm, please see E Strom et al , "Piopagation delay estimation in asvnchi onous direct-sequence code-division multiple access systems", IEEE Trans on Communications", vol 44, no 1, pp 84-93, 1996) which is hereby incorporated b\ reference as though fullv and completely set forth herein Uplmk power and DOA estimation can be performed based on estimation of the spatial signatures In one embodiment the uplink power is calculated as the principal eigenvalue of a data covanance matnx of the multichannel svmbol sequence associated with a respective terminal In another embodiment, the uplink power is estimated as a quadratic mean of a beamformed svmbol sequence associated with a respective terminal In one embodiment, DOAs are determined bv performing beamforming on individual spatial signatures In another embodiment, high resolution DOA estimation algorithms are applied directly to the covanance matnx of the multichannel symbol sequence In yet another embodiment, adaptive power and DOA estimation methods can be adapted to track the vaπations of these parameters The DOA estimates, when used in conjunction with the timing offset, provides distance and direction information to locate the terminals, and thus may be used to facilitate handoff among different cells Thus the spatial processor 60 performs functions such as spatial signature estimation, constructing the uplink and downlink beamforming matrices or vectors foi all terminals, and estimating signal parameters such as the uplink power and timing offset of the terminals Fig 8 illustrates an examplarv embodiment of the modulator 50 in accordance with the present invention The modulator 50 mcludes a plurality of spreaders 150 based on the number of terminals which aie capable of communicating with the base unit In the embodiment shown m Figure 8, signals 80 intended foi the terminals, e g , 5, (k) to s p (k) for terminal 1 to P. respectively, are first spread by spreaders 150,152 using PN code sequences 140, 142 provided by a PN code generator 102 A set of downlink beamformers 144,146 aie coupled to the spreaders to weight the resulting chip sequence 160,162 using downlink beamforming matnces to w p ' ) The final step of the SA-CDMA Modulator 50 is combining the beamformed sequences and geneiating multichannel downlink S-CDMA signals 168 This is accomplished in the present embodiment by digital combiners 158 An embodiment of an SA-CDMA demodulator 52 is depicted in Fig 9 The configuration of the demodulator 52 is reversed in structure to the modulator 50 Despreaders 98,100 are coupled to the multichannel transceiver anav (configured to be receivers) to despread multichannel uplink S-CDMA signals 82 for each terminal using a PN code sequence provided bv the PN Code generator 102 The outputs of the despreadeis aie multichannel svmbol sequences 122,124 for diffeient terminals For each terminal, an uplink beamformer 104 or 106 is coupled to the despreader that provides a multichannel symbol sequence for this terminal The uplink beamformer obtains enhanced signals 126, 128 bv combining the conesponding multichannel symbol sequence using its associated uplink beamforming matnx to w r p ) The beamforming outputs 126.128 are passed along to detectors 108.110 where message data s } (k), .. , s p (k) )from the terminals are detected as in the cunent art The modulation and demodulation schemes described above assume ideal multichannel transceivers with no hardware imbalance In practice however, haidware imperfection is inevitable To cope with this, system calibration is generally required Throughout the discussion herein, it is assumed that compensation of receiver circuits aie performed before estimation of spatial signatures, whereas compensation of transmitter circuits are performed before the transmission of multichannel downlink S-CDMA signals OPERATION OF THE INVENTION Having described the block structure of the present SA-CDMA system, the following describes the operations of the present invention in more detail In cunent practice of TDD communications, uplink signals fiom remote terminals are received bv the base station duπng an uplmk frame The base station demodulates the message signals and either exchanges and sends them back to the terminals or relays them to a network, depending on the application Immediately after the uplmk frame is a downlink frame in which the base station sends modulated messages to the terminals The present invention adopts the same duplexing format as described above Fig 10 diagrams an exemplary operational flow of the disclosed TDD smart antenna CDMA svstem Starting from reception of an uplink frame, outputs from the multichannel transceiver anav 40 are first compensated with receiver circuit calibration matrices or vectors before other operations Once he receiver hardware imbalance is accounted for combinations of uplink S-CDMA signals are despread to produce multichannel symbol sequences for different terminals As noted above, the combinations of uplink S-CDMA signals are despread foi each of the terminals using the PN code sequence for each of the terminals After despreadmg, the resulting signals are applied foi spatial signatuie estimation Spatial signature estimation is performed to determine the transfer function or transfer characteristics of the transmission path between each terminal and the base station During the uplmk frame, the downlink beamforming matrices are constructed so that thev can be used in the following downlink frame The downlink beamforming matnces foi each terminal are preferably constructed based on the spatial signature estimates for each respective terminal In the piefened embodiment, the remaining RX operations such as uplink beamforming, demodulation, and parameter estimation, do not have to be completed within the uplink frame Upon completion of uplink, message data destined for remote terminals are first modulated as in conventional S-CDMA systems Downlink beamforming is performed using the downlink beamforming matnces calculated To complete the baseband TX processing, all beamformed signals are combined, and transmitter hardware imbalances are compensated The resulting signals are then applied to the multichannel transmitters for transmission to the terminals The above procedure repeats itself in a TDD manner For detailed operations, consider a base station system with M antennas connected to M coherent transceivers Duπng the uplink frame, the base station transceivers aie set at the reception mode and the superimposed signals from P terminals are downconverted and sampled bv an anay of receivers For illustration purpose, it is assumed that K symbols are transmitted from remote terminals Each svmbol is spread into L chips based on the pre-assigned PN code sequence Denote y m (k, n) the nth sample during the kth symbol period from the mth receiver, then / = 1 where s t (k) is the kth s\ mbol from the ith terminal, p t (k, n) n = 1 L , are the spreading PN code for the kth symbol, a x m is the complex response of the mth antenna to signals from the ith terminal, and e m (k, n) iepeats the overall interference o, m fiom all antennas, l e , α ( = ] a> , constitutes a spatial signature which repiesents the spatial characteristics of the ith terminal and the base antenna anay In applications where the propagation channels aie frequency-selective with long delay multipath. the spatial signature becomes a matrix instead of a vector to descnbe the memory effects of the channel For more information, please refer to H Liu and M Zoltowski, "Blmd Equalization in Antenna Anav CDMA Systems", IEEE Trans on Signal Processing, Januan'. 1997. D Johnson and D Dudgen, 'Array Signal Piocess g, Concepts and Techniques", Prentice Hall. 1993 For simplicity, the discussion is limited to frequency non-selective channels and all SA-CDMA operations are discussed based on vector spatial signatures The obiective of demodulation is recover the informative bearing message data. 1 e . s,(k) . from each terminal utilizing its associated PN code sequence and spatial signature To achieve this, one needs to estimate the spatial signature of the terminals and accordingly calculate the uplink and downlink beamforming matnces (vectors in this case) foi spatial beamforming Fig 11 diagrams one embodiment of the estimation procedure Foi each terminal. desDreadmg is first performed on v m (k, n), m = 1. ..., M, If s t (k) is the signal of interest (SOI), the despieading can be mathematically described as, L x m ' ( k = ∑ .y„,(A «) >,(*< > ? ), rø = \ , . . . , M Stacking χ m ' (k) from all antennas in a vector form vields where T denotes transposition Following despreadmg, the signal power of each symbol sequence is calculated as m '( )f, m = 1, , M k The spatial signature estimate can be obtained by element avei aging the following normalized multichannel symbol sequence, χ (k) /χ m ' (k) = ( ιW ...x ( t) j ^(A)), * = 1 ' - --^ where m is the index of the symbol sequence with maximum signal power Alternatively, in anothei embodiment illustrated in Fig 12, a data covanance matrix is formed given the multichannel symbol sequence of terminal 1. N H R , = ∑ x (k) (k) k = 1 The spatial si gnatuie ot the ith user, a t = \ a a A , is readily determined as the pnncipal eigenvectoi of the above covanance matrix Well-known mathematical techniques such as eigen-decompositions (EVDs) and singulai -value decompositions (SVDs) can be used The capability of accuratelv identifying the spatial signatures of the terminals without involving computationally demanding operations is unique to this invention Once the spatial signature estimates are available, the RX beamforming controller 96 begins the construction of uplink beamforming matnces or vectors, The resulting matrices or vectors are used to combine all symbol sequences in the multichannel symbol sequence to form a beamformed symbol sequence for each terminal as follows. M S ,( k = ∑ w , ( m ) x n,( k ) ' P Please reter to D Johnson and D Dudgen, Anav Signal Processing, Concepts and Techniques", Prentice Hall, 1993. for more details on the uplmk beamforming defined above Because of despreading and uplink beamforming, the signal-to-interference ratio (SIR) of j is significantly increased Consequently, the capacity and quality of wneless communications is proportionally increased The enhanced signal can then sent to signal detectors (108, 1 10) for detection as is well known is pnor art In one embodiment, for at least of subset of the terminals, the uplink beamforming vector is identical to the spatial signature estimate of the terminal In another embodiment, noise characteristics as well as other spatial parameters are accounted for so that the maximum signal-to-interfei ence-and-noise ratio (SINR) uplink beamforming vectoi can be constructed to yield better results In yet another embodiment, the uplink beamforming vectors are designed to minimize the bit-enor-i ate (BER) for the terminals A vanetv of techniques can be utilized to realize the above iunctions Similarly, the transmission beamforming vectors aie constructed by the TX beamforming controller 94 based on the spatial signature estimates Again in one embodiment, for at least a subset of terminals, the downlink beamforming vectors are identical to its coπespondmg spatial signature estimate Other more sophisticated algorithms using diffei ent criteria, e g , maximum SINR and minimum BER, can be employed to design the downlink beamforming vectors for better performance Following reception, the multichannel transceivers aie configured to be in the transmission mode Symbols sequences desmated to the remote terminals ai e code modulated as is done in current S-CDMA systems, and then beamformed and combined before applied to the transmitters In the prefened embodiment, the above functions are realized digitally The mth signal sequence to be transmitted from the mth transmitter of can be mathematically represented as y m (k > " ) = ∑ W ''( W (*) ( A ' /Ϊ ) each symbol. ,(A ) (denoted using the same notation as in the uplink for simplicity), is spread using a predetermined PN code sequence. p t (k, n ) ιv'(w) is the mth downlink beamforming coefficient for the ith terminal Please refer to D Johnson and D Dudgen, "Anav Signal Pi ocessing, Concepts and Techniques ' . Prentice Hall, 1993, for moie details on the downlink beamforming defined above Note that although the same PN codes in uplmk are used m the above expression, this is not a restriction of the curcent invention By feeding y„(k, n ) . m = 1 , , ., M to the anay of transmitters, each message is delivered through a different spatial channel determined by the downlink beamforming vector, w t w,( l ) ,v,( )J Each message is also represented bv a distinctive code sequence to distinguish it from the others This wav, code and spatially selective transmission is accomplished The capabilitv of maximizes the performance with simple and robust operations is unique to this invention The above procedure is a batch-mode embodiment of the SA-CDMA scheme in accordance with the invention In another embodiment, the spatial signatuie estimation, beamforming vcctoi s construction, as well as the uplink and downlink beamforming, can be implementation using adaptive algon hms. such as adaptive subspace tracking and recursive beamforming, etc , all well-known in pπoi art In even more sophisticated embodiment, the efficacy of spatial beamforming can be fed back to the base station from the terminals to further performance enhancement The above discussion concerns the two basic operations, namely modulation and demodulation, in an SA-CDMA system In addition to providing beamforming vectors foi the basic transmission and reception operations, the Spatial Processoi (60) also provides necessary signal parameters to maintain the lehable wireless link In particular, the Pai ameter Estimator (92) determines the uplink power and timing offset associated with each terminal The power estimation can be used for closed-loop power control whereas the timing offset estimation is requned foi synchronization In one embodiment the timing offset is estimated by coπelatmg leceived signals a terminal 's PN code sequence at different delays and then locating the peak of the conelatoi outputs - a technique well-known in the pnor art The timing offset is then fed back to this terminal in the following transmission fi ames for synchronization Compared to timing adjustment, power control needs to be done more frequently since channel vanations may be rapid in a mobile environment In one embodiment, the quadratic mean of the multichannel symbol sequence, χ {k) , can be used as the power estimate for the terminal In another embodiment, the principal eigenvalue of the covanance matrix R , provides more accurate estimate of the transmission power In another embodiment, the uplink power is estimated as the quadratic mean of the beamformed symbol sequence s ~ t In yet another embodiment, more accurate power estimation can be accomplished by taking into account of the noise contribution of the power of the beamformer outputs The covanance matrix R , and/or the spatial signature a t associated with the ith terminal contains all its spatial information can thus can provide detailed spatial parameters such as the DOAs, number of multipath reflections, etc Many techniques well-known in the art can be utilized Contrasting to the conventional approaches which utilize the covanance matrix of the receiver outputs, is the fact that estimation of spatial parameters of each terminal is accomplished in two steps The first step isolates the spatial information for each terminal into the covanance matrix or spatial signature estimates, whereas the second step provides details information based on these estimates. This way, the total number of DOAs to be estimated in one step is significantly reduced to that associated with one terminal, leading to more accurate estimates, and the troublesome associate problem is also avoided The DOA estimates can be used in conjunction with timing offset estimation to provide precise location information of the terminals The capability to provide both direction and distance information of the terminals is unique to the present invention Such information can be used to facilitate hand-off and other services which require location information The fact that DOA estimates can be obtained straightforwardly using spatial signature estimates also enable the cunent invention to be applied to cuπent and future FDD S-CDMA systems with minimum modifications While the above description contains certain specifications, these should not be construed as limitations on the scope of the invention, but rather as an exemplification of one prefened embodiment and application thereof It will be apparent to those skilled in the art that vanous modifications can be made to the smart anay S-CDMA communications system and method of the instant invention without departing from the scope or spirit of the invention, and it is intended that the present invention cover modifications and vanations of the antenna anav communications svstem and method provided thev come in the scope of the appended claims and then equivalents

Claims: WHAT IS CLAIMED: 1 A Time Division Duplex (TDD) antenna anay Synchronous Code Division Multiple Access (S-CDMA) communications svstem foi communicating message data to/from a plurality of terminals, comprising a multichannel transceiver anay comprising a plurality of antennas and a piuiahtv of transceivers, wherein said multichannel transceiver anay is adapted for receiving combinations of multichannel uplink S- CDMA signals from said terminals and transmitting multichannel downlink S-CDMA signals towaids said terminals, wherein said multichannel transceiver anay is adapted for receiving said combinations of multichannel uplmk S-CDMA signals from said terminals and transmitting multichannel downlink S-CDMA signals towards said terminals duπng different time frames in a time division duplex manner. a spatial processor coupled to said multichannel transceiver anav for determining spatial signatuie estimates associated with said terminals from said combinations of multichannel uplink S-CDMA signals, wherein said spatial processor is also operable to calculate uplink and downlink beamforming matrices based on the spatial signature estimates, a demodulator coupled to said spatial piocessor and said multichannel transccι\ er anav foi determining estimates of uplink messages from said terminals from said combinations oi multichannel uplink S-CDMA signals, and a modulator coupled to said multichannel transceiver anay for generating said multichannel downlink S-CDMA signals to transmit messages destined for said terminals 2 The TDD antenna anav CDMA communications system as defined by claim 1 wherein each of said terminals includes a unique PN code sequence, the system further compnsmg a despreader coupled to said demodulator and said spatial processor, wherein, foi each of said plurality of terminals, said despreader uses said respective terminal's PN code sequence to despread said combination of multichannel uplmk S-CDMA signals to obtain a multichannel svmbol sequence, wherein said multichannel symbol sequence comprises a plurality of symbol sequences, wherem said spatial processor produces said spatial signature estimate in response to said multichannel symbol sequence 3 The TDD antenna aπ ay CDMA communications system as defined by claim 2, wherem said spatial processor identifies a svmbol sequence from said multichannel svmbol sequence with the maximum signal power and furthei operates to normalize said multichannel svmbol sequence with respect to said identified symbol sequence with the maximum signal powei to obtain a normalized multichannel symbol sequence, and wherein said spatial processor operates to calculate the average of said normalized multichannel svmbol sequence to produce said spatial signature estimate 4 The TDD antenna anav S-CDMA communications system as defined by claim 2. wherein said spatial processor forms a data convanance matnx of said multichannel symbol sequence, wheiein said spatial piocessor calculates the principal eigenvector of said data covanance matrix as said spatial signature estimate 5 The TDD antenna anav S-CDMA communications system as defined by claim 1 , wherem said spatial processor is operable to determine individual multipath parameters including direction of arnval (DOA) estimates associated with each of said terminals. wherem said DOA estimates are used in locating said terminals and in assisting handoff 6 The TDD antenna anay S-CDMA communications svstem as defined bv claim 5, wherein said spatial processor determines DOA estimates based on a respective terminal's spatial signature estimate 7. The TDD antenna anay S-CDMA communications system as defined bv claim 5, wherein said spatial processor determines DOA estimates based on a data covanance matrix of a multichannel svmbol sequence associated with a respective terminal 8 The TDD antenna anay S-CDMA communications svstem as defined by claim 1, wherein said spatial processor determines an uplink power estimate associated with each of said terminals, wherein said uplink power estimate is used for power control. wherein said spatial processor determines said uplmk power as the principal eigenvalue of a data covanance matrix of a multichannel symbol sequence associated with a respective terminal 9 The TDD antenna anay S-CDMA communications system as defined bv claim 1 , wherein said spatial processor determines an uplmk power estimate associated with each of said terminals. wherein said uplink power estimate is used for power control. wherem said spatial processoi determines said uplink power as a quadratic mean of a beamformed symbol sequence associated ith a respective terminal 10 The TDD antenna anav S-CDMA communications svstem as defined by claim 1. wherein said spatial processor determines timing offset estimates associated with each of said terminals, wherein said timing offset estimates are used for synchronization of said terminals 1 1 The TDD antenna anay S-CDMA communications svstem as defined by claim 1. wherein said spatial processor further mcludes means for determining individual multipath parameters including direction of arrival (DOA) estimates associated with each of said terminals, wherein said DOA estimates are used in assistmg handoff, means foi determining timing offset estimates associated with each of said terminals, wherein said timing offset estimates are used for synchronization, and means foi determining the geolocation of a respective terminal by combining said DOA estimates and distance information provided bv said timing offset estimates 12 The TDD antenna anav S-CDMA communications system as defined by claim 1 , wherein each of said terminals mcludes a unique PN code sequence, the system further compnsmg a despreader coupled to the demodulator and the spatial piocessor, wherein, for each of said terminals, said despreader operates to despread said multichannel uplmk S-CDMA signals to obtain an associated spatial signature estimate, wherein, for each respective terminal of said plurality of terminals, said despreader uses said respective terminal 's PN code sequence to despread said combination of multichannel uplink S-CDMA signals to obtain a multichannel symbol sequence, wheiem said multichannel svmbol sequence comprises a plurality ol svmbol sequences for each of the transceivers comprised in the multichannel transceiver array, wherein the demodulatoi is coupled to the despreader and ieceives said multichannel symbol sequence output from said despreader. wherein said demodulator includes an uplink beamformer for obtaining enhanced signals for a respective terminal by combining said multichannel svmbol sequence using said respective terminal's uplink beamforming matrix, and a detector for determining message data transmitted by said respective terminal from said enhanced signals, whereby code and spatial diversities are both used to suppress interference and noise in signal i eception 13. The TDD antenna anay S-CDMA communications svstem as defined bv claim 1 , wherein said modulator includes a PN code generator for providing PN codes for each of said terminals, a spreader coupled to said PN code generator for generating S-CDMA signals for each of said terminals, wherein said spreader uses a respective PN code for each of said terminals in generating said S- CDMA signals for each of said terminals, a downlink beamformer tor producing beamformed S-CDMA signals for each of said terminals, wherem said downlink beamformer uses said transmit beamforming matnces associated w ith each of said terminals in producing said beamf ormed S-CDMA signals for each of said terminals, and a combiner for combining said beamformed S-CDMA signals to produce said multichannel downlink S-CDMA signals. whereby code and spatial diversities are both used to suppress interference and noise in signal transmission 14 The TDD antenna anay S-CDMA communications system as defined bv claim 1 , whei ein, for at least a subset of said terminals, the uplink beamforming matrix for a respective terminal is identical to the spatial signature estimate for said respective terminal 15 The TDD antenna array S-CDMA communications system as defined by claim 1 , wherein, for at least a subset of said terminals, the uplink beamforming matrix for a respective terminal is constructed based on the spatial signature estimates of each of said terminals to maximize the signal-to-interference-and-noise ratio (SINR) for said respective terminal 16 The TDD antenna anay S-CDMA communications system as defined bv claim 1. wherem. for at least a subset of said termmals. the uplink beamforming matrix for a respective terminal is constructed based on the spatial signature estimates of each of said terminals to minimize the bit-enor-rate (BER) for said respective terminal 17 The TDD antenna anay S-CDMA communications system as defined by claim 1. wherem. for at least a subset of said terminals, the downlink beamforming matrix for a respective terminal is identical to the spatial signature estimate for said respective terminal 18 The TDD antenna anav S-CDMA communications svstem as defined bv claim 1 , wherein, for at least a subset of said terminals, the downlink beamforming matrix for a respective terminal is constructed based on the spatial signature estimates of each of said terminals to maximize the signal-to-interference-and-noise ratio (SINR) for said respective terminal 19 The TDD antenna anay S-CDMA communications system as defined bv claim 1 , wherein, for at least a subset of said terminals, the downlink beamforming matrix for a respective terminal is constructed based on the spatial signature estimates of each of said terminals to minimize the bit-enor-rate (BER) for said respective terminal 20. The TDD antenna anav S-CDMA communications system as defined by claim 1. wherein each of said transceivers in said multichannel transceiver anay comprises transmitter circuits and receiver circuits. the system further comprising means for calibrating said multichannel tiansceiver anay to coπect for imbalance of said multichannel transceivers. wherein said means for calibrating said receiver circuits operates before estimation of said spatial signatures, wherein said means for calibrating said transmitter circuits operates before the transmission of said multichannel downlink S-CDMA signals 21 The TDD antenna anay S-CDMA communications system as defined by claim 1. wherein said spatial processor, said demodulator and said modulator are implemented bv one or more digital processors 22 A method foi communicating message data to/from a plurality of terminals, comprising receiving combinations of multichannel uplmk S-CDMA signals from said terminals and determining spatial signature estimates associated with the termmals from said combinations of multichannel uplink S-CDMA signals, calculating uplmk and downlink beamiorming matrices based on the spatial signature estimates demodulating uplink messages from said terminals from said combinations of multichannel uplink S-CDMA signals, wherem said determining estimates of said uplink messages uses said uplink beamforming matnces, modulating multichannel downlink S-CDMA signals to ti ansmit messages destined for said termmals, transmitting said multichannel downlink S-CDMA signals towards said termmals. wherein said receiving is adapted forieceivmg combinations of multichannel uplink S-CDMA signals π om said terminals during a first time frame, and whei ein said transmitting is adapted for ti ansmitting multichannel downlink S-CDMA signals towards said terminals during a second time frame m a time division duplex manner 23 The method of claim 22. herein each of said terminals includes a unique PN code sequence, the method further comprising despreading, for each of said pluiahty of terminals, said combination of multichannel uplmk S- CDMA signals with said respective terminal ' s PN code sequence to obtain a multichannel svmbol sequence, wherein said multichannel symbol sequence compnses a plurality of symbol sequences. wherein said determining spatial signature estimates comprises identifying a sequence from said multichannel symbol sequence, with the maximum signal power, normalizing said multichannel symbol sequence with respect to said identified symbol sequence with the maximum signal power to obtain a normalized multichannel svmbol sequence, and calculating the average of said normalized multichannel symbol sequence to produce said spatial signature estimate 24 The method of claim 22, w herein each of said terminals mcludes a unique PN code sequence, the method further comprising despreading, for each of said plurality ot terminals, said combination of multichannel uplink S- CDMA signals with said lespectn e terminal's PN code sequence to obtain a multichannel svmbol sequence, wherein said multichannel svmbol sequence compnses a pluiahtv of svmbol sequences. wherein said determining spatial signature estimates comprises forming a data convaπance matrix of said multichannel symbol sequence calculating the principal eigenvector of said data covanance matnx as said spatial signature estimate 25 The method of claim 22. w herem said determining spatial signatui e estimates further includes determining individual multipath parametei s including dn ection of amval (DOA) estimates associated with each of said terminals, wherein said DOA estimates are used in locating said terminals and in assisting handoff 26 The method of claim 25, wherein said determining individual multipath parameters determines DOA estimates based on a respective terminal s spatial signatui e estimate 27 T he method of claim 25. w herein said determining individual multipath parameters determines DOA estimates based on a data covanance matrix of a multichannel symbol sequence associated ith a respective terminal 28 The method of claim 22. wherein said determining spatial signatuie estimates further includes determining an uplink power estimate associated with each of said terminals, wherein said uplmk power estimate is used for power control, wherem said determining said uplmk power estimate determines said transmission power as the principal eigenvalue of a data covanance matrix of a multichannel symbol sequence associated with a respective terminal 29 The method of claim 22. wherein said determining spatial signature estimates further includes, determining an uplmk power estimate associated with each ol said terminals wherein said uplmk power estimate is used for power control. wherein said determining said uplink power estimate determines said uplmk power as a quadratic mean of a multichannel symbol sequence associated with a respective terminal 30 The method of claim 22, wherein said determining spatial signatui e estimates further includes obtaining timing offset estimates associated with each of said terminals, wherem said timing offset estimates are used for synchronization 31 The method of claim 22. w herein said determining spatial signatuie estimates further includes determining individual multipath parameters including direction of anival (DOA) estimates associated with each of said terminals, wherem said DOA estimates are used in handoff. obtaining timing offset estimates associated with each of said termmals, wherein said timing offset estimates are used for synchronization determining the geolocation of a respective terminal bv combining said DOA estimates and distance information provided by said timing offset estimates 32 The method of claim 22, wherein each of said termmals includes a unique PN code sequence, the method further compnsing despreadmg, for each of said plurality of termmals. said combination of multichannel uplink S- CDMA signals with said respective terminal's PN code sequence to obtain a multichannel svmbol sequence, wherem said multichannel symbol sequence compnses a plurality of svmbol sequences, performing uplink beamforming to obtain enhanced signals for a respective terminal, wherein said performing uplink beamforming operates by combining said multichannel symbol sequence using said respective terminal's receive beamforming matrix, and determining message data transmitted bv said respective terminal from said enhanced signals wherein code and spatial diversities aie both used to suppress interference and noise in signal reception 33 The method of claim 22, wherein said modulating includes generating PN codes for each of said terminals. spreading message signals for each of said termmals, wherem said generating uses a iespective PN code for each of said terminals in generating S-CDMA signals for each of said terminals. performing downlink beamforming to produce beamiormed S-CDMA signals for each of said termmals. wherein said performing downlink beamforming uses said downlink beamforming matrices associated with each of said termmals in producing said beamformed S-CDMA signals for each of said terminals, and combining said beamformed S-CDMA signals to produce said multichannel downlink S-CDMA signals, wherein code and spatial diversities are both used to suppress interference and noise in signal transmission 34 The method of claim 22, wherem, for at least a subset of said termmals, the uplmk beamforming matrix for a respective terminal is identical to the spatial signatuie estimate for said respective terminal 35 The method of claim 22, further comprising for at least a subset of said terminals, constructing the uplink beamforming matrix for a respecm e terminal based on the spatial signature estimates of each of said terminals to maximize the signal-to- lnterference-and-noise ratio (SINR) for said respective terminal. 36 The method of claim 22, further compnsing for at least a subset of said terminals, constructing the uplink beamforming matrix for a respective terminal based on the spatial signature estimates of each of said termmals to minimize the bit-error-rate (BER) for said respective terminal 37 The method of claim 22. wherein, for at least a subset of said terminals, the downlink beamforming matnx for a respective terminal is identical to the spatial signature estimate for said respective terminal 38 The method of claim 22. further comprising- for at least a subset of said terminals, constructing the downlink beamforming matrix for a respective terminal based on the spatial signature estimates of each of said terminals to maximize the signal-to- lnterference-and-noise ratio (SINR) for said respective terminal 39 The method of claim 22. further comprising for at least a subset of said terminals, constructing the downlink beamforming matrix for a respective terminal based on the spatial signature estimates of each of said teπnmals to minimize the bit-enor-rate (BER) for said respective terminal 40 The method of claim 22. wherein the method operates in a Time Division Duplex (TDD) antenna anay Synchronous Code Division Multiple Access (S-CDMA) communications system for communicating message data to/from a plurality of terminals, wherein the system comprises a multichannel transceiver anay, wherem each of said transceivers in said multichannel transceiver anav comprises transmitter circuits and receiver circuits, the method further comprising calibrating said multichannel transceiver anav to conect for imbalance of said multichannel transceivers. wherem said calibrating said receiver circuits operates before said determining spatial signature estimates, wherein said calibrating said transmitter circuits operates before said transmitting said multichannel downlink S-CDMA signals 41 A TDD antenna anav S-CDMA communications method for communicating message data between a base station and a plurality of terminals, comprising receiving, using multichannel receivers, combinations of uplmk S-CDMA signals during a uplink frame at said base station, despreadmg, using terminals' PN code sequences, to obtain despread multichannel results for each of said terminals, estimating the spatial signature associated with each of said terminals from said despread multichannel results, generating receive and transmit beamforming vectors or matrices based on said terminals' spatial signature estimates. uplink beamforming said despread multichannel results using said receive beamforming vectors or matnces to obtain enhanced signals for each of said terminals, demodulating said enhanced signals to recover message data from each of said terminals. modulating message data to obtain S-CDMA signals for each of said terminals. downlink beamforming said S-CDMA signals using said transmit beamforming matrices to obtain beamformed S-CDMA signals for each of said terminals. combining all of said beamformed S-CDMA signals to obtain downlink multichannel S-CDMA signals transmitting, in a downlink frame following said uplink frame said combinations of downlink S- CDMA signals from the multichannel transmitters 42 A Time Division Duplex (TDD) antenna anay Synchronous Code Division Multiple Access (S-CDMA) communications system for communicating message data to/from a plurality of terminals, comprising a multichannel transceiver anay compπsmg a plurality of antennas and a plurality of transceivers, wherein said multichannel transceiver anay is adapted for receiving combinations of multichannel uplmk S- CDMA signals from said terminals and transmitting multichannel downlink S-CDMA signals towards said termmals, wherein said multichannel transceiver anay is adapted for receiving said combinations of multichannel uplink S-CDMA signals from said terminals during a first time frame and is adapted for transmitting multichannel downlink S-CDMA signals towaids said terminals during a second time frame in a time division duplex manner. one or more memories for stonng code and data, one or more digital signal processors coupled to said one or more memoπes. wherein said one or more digital signal processors are operable to execute code from said one or more memories. wherem said one or more digital signal processors are operable to determine spatial signature estimates associated with the terminals from said combinations of multichannel uplink S-CDMA signals, wherein said one or more digital signal processors are also operable to calculate uplink and downlink beamforming matnces based on the spatial signature estimates. wherein said one or more digital signal processors are operable to determine estimates of uplink messages from said terminals from said combinations of multichannel uplmk S-CDMA signals, and wherein said one or more digital signal processors ai e operable to generate said multichannel downlink S-CDMA signals to transmit messages destined for said terminals 43 The TDD antenna anav S-CDMA communications system as defined by claim 42, wherem each of said terminals includes a unique PN code sequence, wherein, for each of said plurality of terminals, said one or more digital signal processors are operable to use said respective terminal's PN code sequence to despread said combination of multichannel uplink S-CDMA signals to obtain a multichannel svmboi sequence, wherein said multichannel svmbol sequence comprises a plurality of symbol sequences. wherein said one or more digital signal processors are operable to determine said spatial signature estimate in reponse to said multichannel symbol sequence 44 The TDD antenna anav S-CDMA communications system as defined bv claim 43. wherein said one or more digital signal processors are operable to identify a svmbol sequence from said multichannel svmbol sequence with the maximum signal power and further operable to normalize said multichannel svmbol sequence with respect to said identified svmbol sequence with the maximum signal power to obtain a normalized multichannel svmbol sequence, and wherein said one or more digital signal processors are operable to calculate the average of said normalized multichannel svmbol sequence to produce said spatial signature estimate 45 The TDD antenna anav S-CDMA communications svstem as defined bv claim 43. wherein said said one or more digital signal processors aie operable to form a data convaπance matnx of said multichannel svmbol sequence. wherein said spatial processor calculates the principal eigenvectoi of said data covanance matrix as said spatial signature estimate 46 A Time Division Duplex (TDD) antenna anay Synchronous Code Division Multiple Access (S-CDMA) communications svstem for communicating message data to/from a pluralm of terminals, comprising a multichannel transceiver anay comprising a plurality of antennas and a plurality of transceivers, wherein said multichannel transceiver array is adapted for receiving combinations of multichannel uplink S- CDMA signals from said terminals and transmitting multichannel downlink S-CDMA signals towards said termmals, wherein said multichannel transceiver anav is adapted for receiving said combinations of multichannel uplink S-CDMA signals from said terminals during a first time frame and is adapted for transmitting multichannel downlink S-CDMA signals towards said terminals during a second time trame in a time division duplex manner. spatial signature estimation means coupled to said multichannel transceiver anav for determining spatial signature estimates associated with said termmals from said combinations of multichannel uplink S- CDMA signals, wherein said spatial signature estimation means is also operable to calculate uplmk and downlink beamforming matnces based on the spatial signature estimates. demodulator means coupled to said spatial signature estimation means and said multichannel transceiver anav for determining estimates of uplmk messages from said terminals from said combinations of multichannel uplink S-CDMA signals, and modulator means coupled to said multichannel transceiver array for generating said multichannel downlink S-CDMA signals to transmit messages destined for said terminals 47 The TDD antenna anay S-CDMA communications system as defined by claim 46. w herein each of said terminals includes a unique PN code sequence, the system further comprising despreader means coupled to said demodulator means and said spatial signature estimation means, wherein. loi each of said plurality of terminals, said despreader means uses said respective terminal's PN code sequence to despread said combination of multichannel uplink S-CDMA signals to obtain a multichannel svmbol sequence w herein said multichannel svmbol sequence comprises a plurality of svmbol sequencer. wherein said spatial signature estimation means operates to determine said spatial signature estimate in response to said multichannel symbol sequence 48 The TDD antenna anay S-CDMA communications system as defined by claim 47. wherein said spatial signature estimation means identifies a symbol sequence fiom said multichannel svmbol sequence w ith the maximum signal power and further operates to normalize said multichannel symbol sequence with respect to said identified symbol sequence with the maximum signal power to obtain a normalized multichannel symbol sequence, and wherem said spatial signature estimation means operates to calculate the average of said normalized multichannel svmbol sequence to produce said spatial signature estimate 49 The TDD antenna anav S-CDMA communications system as defined by claim 47, wherein said spatial signature estimation means forms a data convaiiance matnx of said multichannel symbol sequence, wherein said spatial signature estimation means calculates the principal eigenvector of said data covanance matrix as said spatial signatuie estimate 50 The TDD antenna anav S-CDMA communications system as defined bv claim 46. wheiein said spatial signature estimation means further includes means for determining individual multipath parameters including dnection of anival (DOA) estimates associated w ith each of said terminals. wherem said DOA estimates are used in locating said termmals and in assisting handoff 51 The TDD antenna anav S-CDMA communications svstem as defined bv claim 46 wherein said spatial signature estimation means further includes, means for determining an uplmk power estimate associated with each of said terminals wheiem said uplink powei estimate is used for power control 52 The TDD antenna anav S-CDMA communications svstem as defined bv claim 1 wherein said spatial signature estimation means further mcludes means for obtaining timing offset estimates associated with each of said termmals wherem said timing offset estimates aie used for synchronization of said terminals

Inventors: LIU HUI, XU GUANGHAN, LIU, HUI, XU, GUANGHAN
Applicants: CWILL TELECOMMUNICATIONS INC, CWILL TELECOMMUNICATIONS, INC.
Application year: 1997
Main classification: H04B7
IPC codes: H04B7