EQUALIZED PARALLEL INTERFERENCE CANCELLATION (EPIC) FOR CDMA SYSTEMS

Abstract: A new multiuser detection scheme EPIC (Equalized Parallel Interference Cancellation) is disclosed. A rake receiver signal zRake output by a rake receiver is detected, which receives a spread spectrum composite signal r comprising plural user signals b1,b2,..,bK that have been spread with spreading codes. At first, first hard-decision values bRake are produced on the basis of the rake receiver outputs. Then, first parallel interference cancellation values are produced on the basis of the first hard-decision values, and second hard-decision values bPIC are produced on the basis of the first parallel interference cancellation values. After that, the first and second hard-decision values are combined for producing first combination values, and second parallel interference cancellation values are produced on the basis of the first combination values. Finally, third hard-decision values are produced on the basis of the second parallel interference cancellation values and the third hard-decision values are output as first stage equalized parallel interference cancellation values bEPIC(1).

Description: TITLE OF THE INVENTION EQUALIZED PARALLEL INTERFERENCE CANCELLATION (EPIC) FOR CDMA SYSTEMS FIELD OF THE INVENTION In general, the present invention relates to third generation wideband code division multiple access systems (3G CDMA systems) , and in particular, to a method of detecting a spread spectrum composite signal comprising different users' signals that have been spread with signature waveforms. BACKGROUND OF THE INVENTION Multiuser communications systems that employ CDMA (Code Division Multiple Access) exhibit a limit on the number of users that can simultaneously communicate over a channel and maintain a specified level of performance per user. This limitation is caused mainly by multiple access interference. In general, solutions to this limitation have employed either optimum multiuser detection or interference cancellation methods . Optimal multiuser detection (MUD) methods (ref: S. Verdu, „Minimum probability of error for asynchronous Gaussian multiple-access channels," IEEE Trans , on Inform . Theory, IT- 32, pp.85-96, Jan 1986) are able to eliminate the multiple access interference (MAI), but show a complexity that is exponential to the number of users, which seems impossible for practical implementations. With respect to criteria of complexity and performance, the most appropriate choice of MUD for practical systems has been evaluated in T. Ojanpera and R. Prased, "Wideband CDMA for Third Generation Mobile Communications", Artech House Pub., 1998. It has been found that the implementation of a 3-stage parallel interference cancellation (PIC) provides preferable results . Fig. 1 shows an L-stage parallel interference cancellation approach, with m being the number of each stage. A composite signal comprises a series of coded signals from users 1 through K, each used to modulate an RF carrier using conventional modulation techniques, such as binary phase shift keying (BPSK) . The received discrete-time signal r can be written as JET = SAb+n , wherein: S - spreading code matrix; A = channel coefficient matrix; = [bi , i 2 , .. , J κ ] = signals transmitted by users 1 through K; and n = AWGN noise. For each user k equal to 1 through K, a unique code s(k) is used to spread the signal in the user transmitter, the spreading code matrix S consisting of the codes s(k) . The outputs of the rake receiver z Rake : z Rak = A H S H r = A H S H (SAb + n) , wherein : () = conjugate transpose operation; and S H S = cross-correlations between the spreading codes Hence, the rake receiver output consists of a despreaded and matched signal as z Rake = [zι Rake , z 2Ra y.e , • • , z KPake ] • For example, the signal zi Rake comprises the signal b λ received from a user 1 plus interference from all other users 2 through K. The signal z Rake may be subjected to a tentative hard-decision concerning the bit polarity so that a signal - Rake = [J 1Rake , £> 2Rake .. , i> KRa e ] comprising bit polarities of +1 or -1 for zi ake through z KRake is the output of the Rake receiver. The signals J Rake and z Rake are used as inputs into a first parallel cancellation stage m=l. Each parallel cancellation stage requires only one bit time causing each stage to be delayed by the product of the number of previous stages and the one bit time interval. The output b(L) of the final stage L is estimated by a final decision device such as a hard decision device. Fig. 2 shows an mth stage conventional PIC detector for BPSK (Binary Phase Shift Keying) modulation proposed by M.K. Varanasi and B. Aazhang, "Multistage detection for asynchronous code-division multiple-access communications, " IEEE Trans. Comm., COM-38(4), April 1990. The estimated signal b(m) at stage m is calculated according to the following equation: b(m) = sgn[z R lke -MAI m _ ] \ = sgn[z RllkL , ~ Fb(m-l)) f m=l..L (1) wherein: J ( 0 ) = J p a ke = sgn [z R ake (0) ] ; and F = A H S H SA-diag { [A H S H SA] a ) = off-diagonal cross-correlation matrix . The MAI can be calculated by the processing units and the summing points shown- in Fig. 2. For example, MAI for user 1 is calculated by the processed and summed signals from users 2 to K and then is subtracted from z Rake . The subtraction result is subjected to a hard decision. The output of the L -stage b(L) may be subjected to a final decision in order to obtain an output signal Jbp ic . Fig. 3 shows an mth stage PPIC (Partial Parallel Interference Cancellation) detector disclosed in the US-A-5 644 592 assigned to Divsalar et al . The estimated signal z (m) at stage m is calculated in accordance with the following equation: z(m) = ω m [z Rllk - Fb(m- - ω w )z(m- \) l m=l..L (2) wherein: z( ) = z Ra , . As it is shown in Fig. 3, soft-outputs of data estimates z (m-1) are weighted by l-ω ra and then added with the soft signal z Rake with cancellation of MAI regenerated by latest estimates. The data estimates at the m th stage can be obtained from this added signal z (m) . In a final decision device, the data estimates z (L) may be subjected to a hard- decision so that a hard-decision signal Jppic is output. SUMMARY OF THE INVENTION It is an object of the present invention to improve the system performance in suboptimal MUD with negligible increase of complexity. According to a first aspect of the present invention, this object is achieved by a method of detecting a spread spectrum composite signal (r) comprising plural user signals (i>ι,-b 2 , .. ,-bκ) that have been spread with spreading codes, said method comprising the steps of: a) receiving the composite signal (ir) at a rake receiver; b) obtaining a rake receiver output z Rake = A H S H x; c) producing first hard-decision values - Rake =sgn(z Pak€ ) on the basis of the rake receiver output z Rake ; d) producing first parallel interference cancellation values z Rake -.F-b Rake on the basis of i> Ra e '" e) producing second hard-decision values -b PIC =sgn(z Rak - e - -5jb Rake ) on the basis of the first parallel interference cancellation values; f) producing first combination values b by combining the hard-decision values J Ra ke and i> P ι C ; g) producing second parallel interference cancellation values on the basis of the first combination values b ; and h) producing third hard-decision values > EPIC (1) =sgn { z Ra ^ e -Fb ) on the basis of the second parallel interference cancellation values, b _ ?lc ( l ) being considered to be the output of the equalized parallel interference cancellation (EPIC) detector at a first stage. According to a second aspect, the above mentioned object is achieved by a detecting device for detecting a spread spectrum composite signal (r) comprising plural user signals (£>ι, b 2 , . . , b κ ) that have been spread with spreading codes, the composite signal (r) being received at a rake receiver which provides a rake receiver output z Rake = A H S H r, said detecting device being arranged to: a) produce first hard-decision values b Rake =sgn(z Rake ) on the basis of the rake receiver output z Ra e ; b) produce first parallel interference cancellation values z Rake --Fi Rake on the basis of Jb Rake ; c) produce second hard-decision values -b PIC =sgn(z Rake - ■^ϊ^ake) on the basis of the first parallel interference cancellation values; d) produce first combination values b by combining the hard-decision values i> Ra e an d -bpicJ e) produce second parallel interference cancellation values z Pa e -Fb on the basis of the first combination values b ; and f) produce third hard-decision values 6 EPIC (1) -sgn (z Rake -F6 ) on the basis of the second parallel interference cancellation values, 6 EPIC (1) being considered to be the output of the equalized parallel interference cancellation (EPIC) detector at a first stage. The hard-decision values J EPIC (m) (m=2,3,..,L) at m th stage may be combined with the hard-decision values of equalized parallel interference cancellation values J EPIC (m-l) at (m-l) th stage for producing m th combination values b (m) . (m+l) h parallel interference cancellation values then are produced on the basis of the m th combination values b (m) , and hard- decision values b EPIC (m+l) at (m+l) th stage are produced on the basis of the (m+l) th parallel interference cancellation values. These steps may be repeated a predetermined number of times or until a predetermined bit-error-rate is reached. According to a first embodiment of the present invention, the first combination values may be produced by summing the first and second hard-decision values which are weighted by (1-cθι) and α>ι, respectively. According to a second embodiment of the present invention, for k th user, in case the first hard-decision value equals the second hard-decision value, the second hard-decision value is used as the first combination value, and in case the first hard-decision value does not equal the second hard- decision value, the first combination value for the k n user is produced by weighting the second hard-decision value with (2ωι-l) According to the first embodiment, the m h combination values may be produced by summing the (m) h and (m+l) th hard-decision values which are weighted by (l-ω m ) and ω m , respectively . According to the second embodiment, the m th hard-decision values and the (m-l) th hard-decision values of EPIC detector are compared for each user, wherein, for user k, in case the m th hard-decision value equals the (m-l) th hard-decision value, the m th hard-decision value is used as the m th combination value, and wherein in case the m h hard-decision value does not equal the (m-1) hard-decision value, the m fc ccoommbbiinnaattiioonn vvaalluuee iiss pprroodduucceed by weighting the mth hard- decision value with (2ω m -l). The m th weighting factor may be larger than a (m-l) 1 weighting factor. According to the present invention, the first parallel interference cancellation values may be produced by regenerating the induced multiple, access interference (MAI) in accordance with: MAf = Fb R ke F = A H S H SA - diag([A" S" SA] U ) wherein : S = spreading code matrix; A = channel coefficient matrix; () H - conjugate transpose operation; and F = off-diagonal cross-correlation matrix. According to the second embodiment, the second parallel interference cancellation values are produced by regenerating the induced multiple access interference (MAI) in accordance with: MAI 2 = F[ω b ιηc +(\ - ω, F = A H s"SA-diag ( [A H S H SA] ) wherein : S = spreading code matrix; A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. Moreover, according to the second embodiment, the (m+l) th parallel interference cancellation values are produced by regenerating the induced -multiple access interference (MAi; in accordance with: Mai m+1 = F[ ( 2ω m - l ) -b E p IC (m- l ) ] i f [J Rak e ] k ≠ [Jbpic l k FJb EPIC (m- l ) i f [i> R ake ] = [Jbpic l k - F = A H S H SA-diag ( [A H S Ii SA] i i ) wherein : S = spreading code matrix; A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. The weights or weighting factors at each stage m may be varied and predefined in different systems by trail-and-error simulations on training sequences. Furthermore, the weights may be optimized by adaptive schemes. Moreover, the weights or weighting factors can be defined by power of 2, which further reduces the implementation complexity of the present invention significantly. The detecting device according to the second aspect may be implemented in an apparatus such as a base station or terminal comprising a rake receiver. The present invention provides a significantly improved system performance compared to conventional PIC detectors with nearly the same complexity. Moreover, the EPIC (Equalized Parallel Interference Cancellation) detection according to the present invention significantly outperforms PPIC detectors in heavily loaded systems. According to the present invention, an extra K bit memory for storing hard-decisions of a previous stage is required, where K is the number of users. For example, if K=31, an extra memory with the capacity of 31 bits or 4 bytes is ' required. However, the conventional PPIC detector requires more memory capacity for storing soft-decisions of a previous stage. For example, if 8 bits are used for each soft-decision and K=31, 31x8 bits or 31 bytes of memory capacity are required for the PPIC detector. The EPIC detector according to the present invention requires MK times digital two-bit-comparisons where M is number of stages and the two-bit comparator can be installed by only four logical gates. The EPIC detector also requires approximately extra MK/4 multiplications { floating _ point x weight x +\ ) because there is no need for extra multiplications if hard-decisions of two successive stages are the same. However, the extra multiplications require 5MK/2 operations if 8 bits are used for floating points and 4 bits are used for weight. Furthermore, if the weights could be " defined by power of 2, only 2 bits might be needed for weight. Then the extra multiplications only require 3MK/4 operations and the complexity can be further reduced significantly. In contrast thereto, the conventional PPIC detector requires 2MK extra multiplications (floating_point x weight x floating_point) . This means, extra 64MK operations are required. It can be noticed that the present invention only requires extra operations negligible compared to the conventional PIC detector. Moreover, the complexity can be considerably reduced by the present invention compared to the PPIC detector . The present invention can easily be implemented in 3G products like 3G FDD/TDD-WCDMA base stations or 3G TDD-WCDMA terminals, providing significant improvement of system performance . In the following the present invention will be described by way of preferred embodiments thereof with reference to the accompanying drawings . BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 shows a schematic block diagram of parallel stages of a prior art IC system comprising a rake receiver. Fig. 2 shows a schematic block diagram of a stage of a conventional PIC detector. Fig. 3 shows a schematic block diagram of a stage of a conventional PPIC detector. Fig. 4 shows a schematic block diagram of a 2-stage EPIC detector according to a first embodiment of the present invention. Fig. 5 shows a flow-chart of the operation of a 3-stage EPIC detector according to a second embodiment of the present invention. Fig. 6 shows a graph of the bit error rate BER of a rake receiver alone, a rake receiver with a PIC detector, a rake receiver with a PPIC detector and a rake receiver with an EPIC detector according to the second embodiment of the present invention, as a function of the signal-to-noise ratio in a system with 21 users, a 31-bit Gold code and ideal power control . Fig. 7 shows a graph of the bit error rate BER of a rake receiver alone, a rake receiver with a PIC detector, a rake receiver with a PPIC detector and a rake receiver with an EPIC detector according to the second embodiment " of the present invention, as a function of the signal-to-noise ratio in a system with 21 users, a 31-bit Gold code and a power control in the range of [-5, +5]dB. Fig. 8 shows a graph of the bit error rate BER of a rake receiver alone, a rake receiver with a PIC detector, a rake receiver with a PPIC detector and a rake receiver with an EPIC detector according to the second embodiment of the present invention, as a function of the signal-to-noise ratio in a system with 31 users, a 31-bit Gold code and ideal power control . Fig. 9 shows a graph of the bit error rate BER of a rake receiver alone, a rake receiver with a PIC detector, a rake receiver with a PPIC detector and a rake receiver with an EPIC detector according to the second embodiment of the present invention, as a function of the signal-to-noise ratio in " a system with 31 users, a 31-bit Gold code and a power control in the range of [-5, +5] dB. DESCRIPTION OF THE PREFERRED EMBODIMENTS The idea of the present invention is to combine and equalize hard-decision outputs of a rake receiver and a l-stage parallel interference cancellation (PIC) detector in order to achieve a more reliable data estimation. According to Fig. 4 showing a block diagram of the present invention and a weighting scheme according to the first embodiment, the signal z Rake output from the rake receiver is subjected to a tentative hard-decision to obtain hard- decision values - Rake i n accordance with: [**„ λ t =sgn{[z ΛnAt .] λ } , with k=l,2,..,K, k being the user index. The hard-decision values -b Rake are subjected to an MAI regeneration which consists of a parallel interference cancellation in accordance with: MAI. = Fb Rake , F = A H S H SA-diag( [A H S H SA] ϋ ) off-diagonal cross- correlation matrix. The values output by the first MAI regeneration shown in Fig. 4 are subtracted from the rake receiver signal z Rake , and the result is subjected to a tentative hard-decision. The signal J PIC output by the tentative hard-decision is determined as follows : b PIC = sgn[z R<!ke - Fb K , lU ,] . If [J Rake ] k = [-bpic] these decisions are regarded as highly reliable, and the induced multiple access interference (MAI) is regenerated and fully subtracted from the soft rake receiver outputs z Rake . If [-bRake] ≠ [-bpiclk? the MAI induced by low-reliability decisions are weighted and fractionally subtracted from z Rake - That is, the second MAI regeneration shown in Fig. 4 is calculated as follows: MAI 2 = F{ω,b PIC +(1 - ω, )b Ruke y The output signal of the second MAI regeneration is subtracted from z Rake - The subtraction result is subjected to a tentative hard-decision and a first-stage equalized parallel interference cancellation output Jb EPIC (l) is obtained as follows: Λ mc0)= sgnZ f cr t , - F[ω.b PIC +(\ -ω l )b Rll ,]} . At the second stage, the hard-decisions -b PIC of the l-stage PIC and the first-stage EPIC detector output J EPIC (l) are equalized. Subsequently, at the third stage, the hard- decisions i E pιc(l) and Jb EPIC (2) of the first stage " and second stage EPIC are equalized, etc., in accordance with the following equation: b EPIC (m) = sgn{z Rake -F[ω m b mc (m- l) + (l - ω n ,)b rpιc (m- 2)] , with m=2 , 3 , . . , L; and b εPlc (v) = b Plc . A more general equation covering the first to L th stage of the EPIC detector according to the present invention is as follows : b(m) = sgn{z, Me -F[ω w b(m- \) + (l - ω,„)b(m- 2)] (3) wherein : m = 2, 3, ,L; b(0) = b Rιlk , ; b(l) = b pιc . The EPIC process will be repeated until a predefined number of stages has been completed which relates to the convergence rate or the target bit-error-rate (BER) . Fig. 5 shows a flow-chart according to a second embodiment of the EPIC detector of the present invention. According to the second and preferred embodiment, the EPIC detector comprises three stages, and the weighting factors of stages 1 to 3 are chosen to ω m = [0.6; 0.7 ; 0.9] . J EPIC (m) (m=l,2,3) is calculated according to the following equation: b I K (m) = sgn[z Rllkl ,-Fb k ]. At the first stage, the hard-decision outputs Jb Rake of the rake receiver are compared with the outputs -b PIC of the 1- stage PIC detector by a two-bit-comparator, which consists of only 4 logical gates, for each user. If the two signals are equal, b k is set to [Jb PIC lk- If not, b k is set to 0.2 [Jb PIC ] k- The value 0.2=(2coι-l) is obtained from the weight cøι=0.6 and from the fact that [- Ra k e ]k = - [Jbpid , wherein b k =ω 1- b PIC + ( l-ω x ) - Rake • At the second stage, the hard-decision outputs J EPIC (l) and Jb PIC are compared by a two-bit-comparator for each user. If the two signals are equal, b h is set to [Jb EPlc (1) ] k . If not, b k is set to 0.4 [Jb EPIC (1) J k . The value 0.4=(2ω 2 -l) is obtained from the weight ω 2 =0.7 and from the fact that Jb PIC = -b vlc {±) , wherein b A =ω 2 -b EPIC (1) + (l-ω 2 ) -b PIC . At the third stage, the hard-decision outputs Jb EPIC (l) and i> EP ic(2) are compared by a two-bit-comparator for each user. If the two signals are equal, b k is set to [Jb EPIC (2) ] k . If not, b k is set to 0.8 [J EPIC (2) ] k . The value 0.8=(2ω 3 -l) is obtained from the weight ω 3 =0.9 and from that fact that - EPIC (2) = -J E ic (1) , wherein > A (2) + (l-ω 3 ) Jb EPIC (1 ) . The determination of b k can also be made in accordance with: b k = (2ω m -l) [J Epic (m-1) ] k if [Jb pιc (m-1) ] k ≠ [Jb EP ιc (m-2) ] k = [Jb E Pic (m-1) I k if [ EPic (m-1) ] = (m-2 ) ] k The weighting factors ω ra = [0.6; 0.7 ; 0.9] with the only restriction 0.5<ωl<ω2<ω3 have been tested in simulations, as it is assumed that higher EPIC stages provide more reliable data estimates. The weights at each stage could be varied and predefined in different systems by trail-and-error simulations on training sequences. Furthermore, the weights could be optimized by adaptive schemes. Figs. 6 to 9 show simulation results of bit-error-rates (BER) as a function of the signal to noise ratio, the bit error rates being obtained by a rake receiver alone, a conventional 3-stage PIC detector, a conventional 3-stage PPIC detector with ω m - [0.5; 0.7 ; 0.9] and the EPIC detector according to the preferred embodiment of the present invention. Fig. 6 shows the respective bit-error-rates for the uplink direction and a perfect channel estimation, the number of paths being equal to one, in case of 21 users with ideal power control and a 31-bit Gold code as spreading code. Fig. 7 shows the respective bit-error-rates for the uplink direction and a perfect channel estimation, the number of paths being equal to one, in case of 21 users with a power control in the range of [-5,+5]dB and a 31-bit Gold code as spreading code . Fig. 8 shows the respective bit-error-rates _for the uplink direction and a perfect channel estimation, the number of paths being equal to one, in case of 31 users with ideal power control and a 31-bit Gold code as spreading code. Fig. 9 shows the respective bit-error-rates for the uplink direction and a perfect channel estimation, the number of paths being equal to one, in case of 31 users with a power control in the range of [-5,+5]dB and a 31-bit Gold code as spreading code. As can be seen from Figs. 6 to 9, the EPIC detector according to the preferred embodiment significantly outperforms the conventional PIC and PPIC detectors. With the EPIC detector according to the present invention, the system performance can be considerably improved especially in heavily loaded systems . While the invention has been described with reference to a preferred embodiment, the description is illustrative of the invention and is not to be construed as limiting the invention. Various modifications and applications may occur to those skilled in the art without departing from the true spirit and scope of the invention as defined by the appended claims .

Claims: CLAIMS : 1. A method of detecting a spread spectrum composite signal (r) comprising plural user signals {b i r Jb 2 , .. ,b κ ) that have been spread with spreading codes, said method comprising the steps of: a) receiving the composite signal (r) at a " rake receiver; b) obtaining a rake receiver output z Rake = A H S H r; c) producing first hard-decision values b Ra k e =sgn(z Rake ) on the basis of the rake receiver output z Rake ; d) producing first parallel interference cancellation values z R ak e -FJ Rak e on the basis of Jb Rake ; e) producing second hard-decision values Jb PIC =sgn(z Rake - on the basis of the first parallel interference cancellation values; f) producing first combination values b by combining the hard-decision values Jb Rake and Jb P C ; g) producing second parallel interference cancellation values z Rake -Fb on the basis of the first combination values b ; and h) producing third hard-decision values =sgn ( z Rake -Fb ) on the basis of the second parallel interference cancellation values, & EPIC (1) being considered to be the output of the equalized parallel interference cancellation (EPIC) detector at a first stage. 2. A method according to claim 1, further comprising the steps of: i) combining the hard-decision values Jb EPIC (m) (m=2,3, ..,L) at m th stage with the hard-decision values of equalized parallel interference cancellation values Jb EP C (m-l) at (m-l) th stage for producing m th combination values b (m) ; j) producing (m+l) th parallel interference cancellation values on the basis of the m th combination values b (m) ; and k) producing hard-decision values b EP C (m+l) at (m+l) th stage on the basis of the (m+l) th parallel interference cancellation values. 3. A method according to claim 2, wherein the steps i) to k) are repeated a predetermined number of times. 4. A method according to claim 2, wherein the steps i) to k) are repeated until a predetermined bit-error-rate is reached. 5. A method according to claim 1, wherein the first combination values are produced by summing the first and second hard-decision values which are weighted by (l~ωι) and coi, respectively. 6. A method according to claim 1, wherein, for k th user, in case the first hard-decision value equals the second hard- decision value, the second hard-decision value is used as the first combination value, and wherein in case the first hard-decision value does not equal the second hard-decision value, the first combination value for the k th user is produced by weighting the second hard-decision value with (2<»i-l) 7. A method according to claim 2, wherein step i) comprises the steps of: producing the m th combination values by summing the (m) th and (m+l) th hard-decision values which are weighted by (l-ω m ) and ω m , respectively. 8. A method according to claim 2, wherein step i) comprises the steps of: comparing the m th hard-decision values and the (m-l) th hard-decision values of EPIC detector for each user, wherein, for user k, in case the m th hard-decision value equals the (m-l) th hard-decision value, the m th hard-decision value is used as the m th combination value, and wherein in case the m th hard-decision value does not equal the (m-l) th hard-decision value, the m th combination value is produced by weighting the m th hard-decision value with (2ω m -l) . 9. A method according to claim 7, wherein the m th weighting factor is larger than a (m-l) th weighting factor. 10. A method according to claim 1, wherein the first parallel interference cancellation values are produced by regenerating the induced multiple access interference (MAI) in accordance with : MAf =Fb Rl e F = A H S" SA- diag([A" S" SA ) wherein: S = spreading code matrix; . A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. 11. A method according to claim 6, wherein the second parallel interference cancellation values are produced by regenerating the induced multiple access interference (MAI] in accordance with: MAIm = [ω,Z> p/c +(l-ω,)V ( ,)] -FfC2ω 1 -l)Jb PIC ] if [J pakel k ≠ [Jbpic] k = b P ic if [Jbp ake ] k = [J piC-k- F = A H S H SA-diag( [A H S H SA] a) wherein : S = spreading code matrix; A - channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. 12. A method according to claim 8, wherein the (m+l) th parallel interference cancellation values are produced by regenerating the induced multiple access interference (MAI) in accordance with: MAI m+1 = F[ (2ω m -l)Jb EPIC (m-l) ] if [Jb Rake ] k ≠ [J pic] k = Fb EPIC (m-l) if [i> Rake ] k = [J pidk. F = A H S H SA-diag( [A H S H SA] i± ) wherein: S = spreading code matrix; A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. 13. A method according to claim 5 or 7, wherein the weighting factors at each stage m are varied and predefined in different systems by trail-and-error simulations on training sequences and optimized by adaptive schemes. 14. A method according to claim 5 or 7, wherein the weighting factors are defined by power of 2. 15. A detecting device for detecting a spread spectrum composite signal (r) comprising plural user signals (Jb 1 ,Jb 2 , .. ,Jb K ) that have been spread with spreading codes, the composite signal (r) being received at a rake receiver which provides a rake receiver output A S H r, said detecting device being arranged to: a) produce first hard-decision values Jb Rake =sgn (z Rake ) . on the basis of the rake receiver output z Rake ; b) produce first parallel interference cancellation values z Rake -Fb Rake on the basis of i> Rake ; c) produce second hard-decision values J P ι C =sgn(z Rake - Fb Rak ) on the basis of the first parallel interference cancellation values; d) produce first combination values b by combining the hard-decision values Jfc^ ake and Jb PIC ; e) produce second parallel interference cancellation values z Rake -FZ> on the basis of the first combination values b ; and f) produce third hard-decision values &EP IC (1) = sgn(z Rake _ Fb ) on the basis of the second parallel interference cancellation values, ^ EPIC (I) being considered to be the output of the equalized parallel interference cancellation (EPIC) detector at a first stage. 16. A device according to claim 15, further being arranged to: g) combine the hard-decision values Jb EPIC (m) (πv=2,3,..,L) at m th stage with the hard-decision values of equalized parallel interference cancellation values Jb E pιc(m-l) at (m-l) th stage for producing m th combination values b (m) ; h) produce (m+l) th parallel interference cancellation values on the basis of the m th combination values b (m) ; and i) produce hard-decision values b EPIC (m+l) at (m+l) th stage on the basis of the (m+l) th parallel interference cancellation values. 17. A device according to claim 16, wherein the device repeats the steps g) to i) a predetermined number of times. 18. A device according to claim 16, wherein the device repeats the steps g) to i) until a predetermined bit-error- rate is reached. 19. A device according to claim 15, wherein the first combination values are produced by summing the first and second hard-decision values which are weighted by (1-coi) and coi, respectively. 20. A device according to claim 15, wherein, for k th user, in case the first hard-decision value equals the second hard- decision value, the device uses the second hard-decision value as the first combination value, and wherein in case the first hard-decision value does not equal the second hard-decision value, the device produces the first combination value for the k th user by weighting the second hard-decision value with (2ω x -l) 21. A device according to claim 16, wherein in performing step g) the device is arranged to: produce the m th combination values by summing the (m) th and (m+l) th hard-decision values which are weighted by (l-ω m ) and ω m , respectively. 22. A device according to claim 16, wherein in performing step g) the device is arranged to: compare the m th hard-decision values and the (m-l) th hard-decision values of EPIC detector for each user, wherein, for user k, in case the m th hard-decision value equals the (m-l) th hard-decision value, the device uses the m th hard-decision value as the m h combination value, and wherein in case the m th hard-decision value does not equal the (m-l) th hard-decision value, the device produces the m th combination value by weighting the m th hard-decision value with (2ω m -l) . 23. A device according to claim 22, wherein the m th weighting factor is larger than a (m-l) th weighting factor. 24. A device according to claim 15, wherein the device produces the first parallel interference cancellation values by regenerating the induced multiple access inte-rference (MAI) in accordance with: MAI, = Fb RllkL , F = A H S"SA - diag([A S SA] u ) wherein : S = spreading code matrix; A = channel coefficient matrix; ( ) H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. 25. A device according to claim 20, wherein the device produces the second parallel interference cancellation values by regenerating the induced multiple access interference (MAI) in accordance with: MAI 2 = [ω, b PIC + (1 - ω, )b Rllh , )] =F/- C203 1 -l ) Jb PIC ] i f [i p. a e ] k ≠ [Jbpic ] k =FJb P ιc i f [-b p .ake l k = [ bpic ] k - F = A H S H SA-diag( [A H S H SA] a) wherein : S = spreading code matrix; A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix, 26. A device according to claim 22, wherein the device produces the (m+l) th parallel interference cancellation values by regenerating the induced multiple access interference (MAI) in accordance with: MAI ml = F[ ( 2ω 1 - l ) Jb EPIC (m-l ) ] i f [Jb Rake ] k ≠ [2> PIC ] FJb EP ic (m- l ) i f [ Rake ] k = [Jb P ι C ] k . F = A H S H SA-diag ( [A H s"SA] lJL ) wherein : S = spreading code matrix; A = channel coefficient matrix; () H = conjugate transpose operation; and F = off-diagonal cross-correlation matrix. 27. A device according to claim 19 or 21, wherein the weighting factors at each stage m are varied and predefined in different systems by trail-and-error simulations on training sequences and optimized by adaptive schemes. 28. A device according to claim 19 or 21, wherein the weighting factors are defined by power of 2. 29. An apparatus comprising a rake receiver and a detecting device according to any one of claims 15 to 28.

Inventors: BU ZHIYONG, LILLEBERG JORMA, WANG HAIFENG, BU, ZHIYONG, LILLEBERG, JORMA, WANG, HAIFENG
Applicants: BU ZHIYONG, LILLEBERG JORMA, NOKIA CORP, WANG HAIFENG, BU, ZHIYONG, LILLEBERG, JORMA, NOKIA CORPORATION, WANG, HAIFENG
Application year: 2000
Main classification: H04B1
IPC codes: H04B1, H04J13