Abstract:
In general, one embodiment of the invention relates to a method for detecting data bits and estimating the channel reliability of each carrier. The detection method comprises (i) computing a complex phase difference between a current symbol and a previous symbol, (ii) separating a real value component (R) from a corresponding imaginary value component (I) forming the complex phase difference, (iii) determining at least one boundary constraint line of a complex phase map for a selected demodulation scheme, and computing an arithmetic combination of the real value component and the corresponding imaginary value component to detect whether a series of bits falls within a selected region of the complex phase map defined by the at least one boundary constraint line. Over N symbols propagating over a carrier, including the current symbol and the previous symbol, the channel estimation counts a number of symbols (less than N but greater than a threshold) that fall within an estimated area of the complex phase map. The estimated area is bound by boundary constraint lines based on a parameterized real value component.

Description:
[0001]    This application claims the benefit of priority on U.S. Provisional Application No. 60/255,830 filed Dec. 15, 2000. 
     
    
     
       FIELD  
         [0002]    The invention relates to the field of communications. In particular, one embodiment of the invention relates to a system and method for symbol detection and for estimating carrier quality over an existing communication line.  
         GENERAL BACKGROUND  
         [0003]    For many years, a number of modulation techniques have been used to transfer data from a source to a destination. One type of modulation technique is referred to as multi-carrier modulation (MCM). In accordance with MCM, data is split into several data components and each of these data components is transmitted over separate carriers so that each individual carrier has a narrower bandwidth than the composite signal. In general, a “carrier” (sometimes referred to as a “tone”) is an electromagnetic signal transmitted generally at a steady base frequency of alternation on which information can be imposed. Of course, when used in connection with fiber optic medium, the carrier may be a light beam on which information can be imposed. The frequency range of the carrier may be referred to as a “frequency slot” or “frequency bin”.  
           [0004]    Currently, there exist a number of multi-carrier modulation schemes such as Orthogonal Frequency Division Multiplexing (OFDM) for example. OFDM subdivides the available spectrum into a number of narrow band channels (e.g., 50 channels or more). The carriers for each channel may be spaced close together and each carrier is configured to be orthogonal to its adjacent carriers. This orthogonal relationship may be achieved by setting each carrier to have an integer number of cycles over a symbol period. Thus, the spectrum of each carrier has a null at the center frequency of each of the other carriers in the system. This results in no interference between the carriers, allowing them to be spaced as close as theoretically possible.  
           [0005]    In particular, OFDM modulation is performed by encoding data onto individual carriers in the frequency domain. This encoding may be accomplished by a Fast Fourier Transform (FFT) engine. For instance, DQPSK modulation involves two-bits of data being encoded on to each carrier. An inverse FFT (IFFT) is performed on the set of frequency carriers, converting to the time domain and producing a single OFDM symbol. The OFDM symbol is then sent through a channel using a digital-to-analog converter (DAC).  
           [0006]    Normally, receivers for MCM systems include an analog-to-digital converter (ADC) that is used to sample the data and route the sampled data to a FFT engine. The FFT engine detects data bits placed on a carrier by computing the phase of successive complex differential signals. Such computations are time consuming and require substantial processing power.  
           [0007]    After detection, it is sometimes desirable for the MCM system to estimate the quality of the carrier in order to determine if the carrier transferring the data is unreliable. A carrier may be deemed “unreliable” where it is experiencing unfavorable channel characterizations (e.g., fading, thermal noise, high degree of interference, etc.). One type of estimation scheme is referred to as “data based channel estimation” in which knowledge of the test data is required. Pilot tones are sometimes used as the test data.  
           [0008]    Another type of estimation scheme is referred to as “blind channel estimation,” where the receiver has no knowledge of the transmitted data. This lack of knowledge makes it more difficult to accurately estimate whether a carrier of a frequency band is reliable.  
       
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS  
       [0009]    The features and advantages of the invention will become apparent from the following detailed description of the invention in which:  
         [0010]    [0010]FIG. 1 is an exemplary embodiment of an Orthogonal Frequency Division Multiplexing (OFDM) receiver.  
         [0011]    [0011]FIG. 2 is an exemplary embodiment of an OFDM demodulator where the input data is differentially coded.  
         [0012]    [0012]FIG. 3A is an exemplary embodiment of a graphical illustration of decision areas used for detection of symbols through analysis of Real and Imaginary components of a received carrier under Differential Quaternary Phase Shift Keying (DQPSK) demodulation.  
         [0013]    [0013]FIG. 3B is an exemplary embodiment of a graphical illustration of decision areas used for detection of symbols through analysis of Real components of a received carrier under Differential Binary Phase Shift Keying (DBPSK) demodulation.  
         [0014]    [0014]FIG. 4 is an exemplary embodiment illustrating operations for channel estimation for BPSK signaling.  
         [0015]    [0015]FIG. 5 is an exemplary embodiment of a graphical illustration of estimation areas used for channel estimation for BPSK signaling.  
         [0016]    [0016]FIG. 6 is an exemplary embodiment illustrating operations for channel estimation for QPSK signaling.  
         [0017]    [0017]FIG. 7 is an exemplary embodiment of a graphical illustration of estimation areas used for channel estimation for QPSK signaling.  
         [0018]    [0018]FIG. 8 is a flowchart of a software module for channel estimation in accordance with BPSK and QPSK signaling.  
     
    
     DETAILED DESCRIPTION  
       [0019]    Herein, the exemplary embodiments of the invention relate to a detection method and channel estimation scheme used to communicate modulated information over a line. These embodiments are not exclusive; rather, they merely provide a thorough understanding of the invention. Well-known circuits are not set forth in detail in order to avoid unnecessarily obscuring the invention.  
         [0020]    In the following description, certain terminology is used to describe features of the present invention. For example, “logic” or “unit” generally describes hardware and/or software module(s) that perform a certain function on incoming information. A “software module” includes code that, when executed, performs a certain function. The software module(s) may be stored in a machine readable medium, which could be provided as an electronic circuit, a semiconductor memory device, a read only memory (ROM), a flash memory, an erasable programmable ROM (EPROM), a floppy diskette, a compact disk, a digital video disk, an optical disk, a hard disk, a fiber optic medium, or a radio frequency (RF) link for example. The logic, as hardware, may be employed as an integrated circuit such as a processor (e.g., a digital signal processor, a microprocessor, etc.), a micro-controller, an application specific integrated circuit (ASIC) and the like.  
         [0021]    The term “information” is defined as voice, data, address, and/or control. In general, the term “symbol” is referred to as data embodied in a carrier. For BPSK modulation, the symbol may be a single data bit having a logical value of “1” or “0”. For QPSK modulation, however, the symbol may be a two data bit having a logical value of “00”, “01”, “10” or “11”. However, a specific type of symbol, referred to herein as an “OFDM symbol,” is a signal that encodes data bits for each of the carriers associated with a given frequency band. Symbols may be used for a variety of purposes. For instance, symbols may be used to synchronize information transmitted in parallel over different lines and perhaps different channels. A logical operator “NOT” involves a bitwise inversion of a series of bits (one or more bits) such as a most significant bit or a least significant bit for example.  
         [0022]    In addition, a “line” is generally defined as one or more physical or virtual information-carrying mediums to establish a communication pathway. Examples of the medium include a physical medium (e.g., electrical wire, optical fiber, cable, bus traces, etc.) or a wireless medium (e.g., air in combination with wireless signaling technology). In one embodiment, the line may be an Alternating Current (AC) power line, perhaps routing information in accordance with a current or future HOMEPLUG™ standard. One version of the HOMEPLUG™ standard is “HomePlug 1.0 Specification” published on or around Jun. 30, 2001.  
         [0023]    In the transmission of an Orthogonal Frequency Division Multiplexing (OFDM) signaling over a line, symbols in a Phase Shift Keying (PSK) format (e.g., Binary PSK “BPSK”, Quaternary PSK “QPSK”, Differential Binary PSK “DBPSK”, Differential Quaternary PSK “DQPSK”, etc.) are employed for transmission. In the frequency domain, different OFDM carriers are subject to different levels of fading, noise or interference. Therefore, for each carrier or perhaps frequency bin, the signal to noise plus interference ratio needs to be measured and used to improve the overall bit error rate (BER) performance of a receiver. The “noise plus interference” computation is done because both thermal conditions (noise) and signal(s) from other sources (interference) can adversely affect the carrier. In one embodiment, the invention describes a unique technique and architecture for symbol detection and the evaluation of the quality of different carriers. This evaluation results in a map vector to be used for transmission or combination of repeated symbols.  
         [0024]    I. General Architecture  
         [0025]    Referring to FIG. 1, an exemplary embodiment of an Orthogonal Frequency Division Multiplexing (OFDM) receiver  100  is shown. The OFDM receiver  100  includes an analog front end (AFE)  110 , a synchronization detection logic  120 , a fast fourier transform (FFT) logic  130 , an OFDM demodulator  140  and a channel estimation logic  150 .  
         [0026]    More specifically, the AFE  110  receives an input OFDM signal, samples information embodied in the OFDM signal, and converts such information from an analog format into a digital format. Examples of such information include OFDM symbol(s). As an option, AFE  110  may perform signal conditioning operations (e.g., gain control, filtering, etc.) on the information prior to or subsequent to such conversion. The AFE  110  provides the digital information to the FFT logic  130 . Synchronized with a sampling rate supplied by the synchronization detection logic  120 , the FFT logic  130  receives digital information associated with the OFDM signal and outputs symbols embodied in each carrier of the OFDM signal to both the OFDM demodulator  140  for detection and the channel estimation logic  150  for estimation of carrier quality. In one embodiment, the FFT logic  130  separates the symbols placed on each carrier associated with the OFDM signal.  
         [0027]    Referring now to FIG. 2, an exemplary embodiment of the OFDM demodulator  140  is shown. For this embodiment, the OFDM demodulator  140  comprises a differential signal detection unit  200  and a selectable demodulation unit  250 . Herein, detection of the type of received symbols is based on the location of the received symbols in accordance with a Real-Imaginary (Re-Imag) plane (referred to as a “complex plane”).  
         [0028]    For this embodiment, the differential coding detection unit  200  includes a select unit  205  (e.g., multiplexer) that outputs either (1) a frequency representation (e.g., FFT value) of a previous symbol received over a first input path  210  or (2) a frequency representation of a reference symbol that may have been extracted from a preamble of the input OFDM signal over a second input path  215 . This allows for symbol-by-symbol differential coding and symbol-to-reference coding, respectively. The type of differential coding is selected by a transmitter to the OFMD receiver  100  by prior to transmission of OFMD signaling or perhaps accompanying such signaling.  
         [0029]    As shown in FIG. 2, in accordance with handling symbol-by-symbol differential coding, a first path  220  provides a phase of a current symbol to a multiplier  225 . A second path  230  provides the frequency representation of the current symbol, which undergoes a delay  235  (for M symbols, where M≧1). Hence, the conjugate value  240  of the frequency representation of the previous symbol (when M=1) is supplied to the multiplier  225 . The phase associated with the carrier of the previous symbol is subtracted from the current symbol and detection is made based on the results. Namely, the phase difference between carriers over successive symbols can be determined after the complex frequency representation of the current symbol is multiplied by the complex conjugate values of the frequency representation of previous symbols. After comparing the phase of each symbol to that of the previous one, differential coding will be removed.  
         [0030]    As further shown in FIG. 2, in accordance with handling symbol-to-reference differential coding, the first input path  210  provides a phase of a current symbol to the multiplier  225 . The second input path  215 , however, provides a frequency representation (e.g., FFT value)  245  of the reference symbol to the multiplier  225 . The phase associated with the carrier of the reference symbol is subtracted from the phase of the current symbol and detection is made based on the results.  
         [0031]    In general, the selectable demodulation unit  250  of the OFMD demodulator  140  is used to identify a segment (e.g., quadrature or half plane) of the complex plane that the carrier is received in without having to compute the phase of the complex differential signal. The decision is based on the comparison of Real and Imaginary components of the received carrier signal to decisions areas  310 ,  320 ,  330  and  340  formed by boundary constraint lines as shown in FIG. 3.  
         [0032]    More specifically, for this embodiment, the selectable demodulation unit  250  includes logic  255  to separate Real (R) value components of the phase difference from its Imaginary (I) value components. The phase difference is normally a complex value having Real and Imaginary components. For QPSK type demodulation, the decision areas are established by a set of boundary constraint lines  350  and  360  (R+I=0; R−I=0) as shown in FIG. 3A. These boundary constraint lines  350  and  360  are established through adders  260 ,  265  and sign bit extraction units  270 ,  275 , which determine a sign bit of the resultant signed 2&#39;s complement representation of the phase difference. In other words, the sign bits of a signed 2&#39;s complement for (R+I) and NOT(I−R) are checked as shown in FIG. 2 and Table 1 below.  
         [0033]    The sign bit extraction unit  270  accesses that the most significant bit of a signed 2&#39;s complement representation for R+I and outputs that bit value as the most significant bit (MSB)  280 . Similarly, the sign bit extraction unit  275  accesses the most significant bit of a signed 2&#39;s complement representation for NOT(R−I) and outputs this bit value as the least significant bit (LSB)  281 . The data is obtained by testing the result of the additions against four decision areas shown in FIG. 3A.  
         [0034]    More specifically, as shown in FIG. 3A and Table 1, if the sign bit of the signed 2&#39;s complement of R+I (hereinafter referred to as “SignBit(R+I)”) is equal to zero and an logical “Not” operation of a sign bit of the signed 2&#39;s complement of I−R (hereinafter referred to as “˜SignBit(I−R)”) is equal to “1”, the received carrier signal is in decision area II  320  of a Real-Imaginary plane  300 . As an arbitrary bit value, decision area II  320  is represented as detected bits being “01” (i.e., MSB=“0” and LSB=“1”). If SignBit(R+I) is equal to “1” and the ˜SignBit(I−R) is equal to “0”, the received carrier signal is in decision area IV  340  with “10” as the detected bit values. If both SignBit(R+I) and ˜SignBit(I−R) are equal to “0”, the received carrier signal is in decision area I  310  with “00” as the detected bit values. Otherwise, if both SignBit(R+I) and ˜SignBit(I−R) are equal to “1”, the received carrier signal is in decision area III  330  with “11” as the detected bit values. Of course, the decision areas associated with the detected bit values are for illustrative purposes and may be slightly altered for other embodiments. It is seen that an efficient technique for demodulation is obtained by evaluating the sign bits of (R+I) and NOT(I−R) of carriers as shown in FIGS. 2 and 3A.  
                                   TABLE 1                                   Area   SignBit(R + I)   ˜SignBit(I − R)   Detected Bits                           I   0   0   00           II   0   1   01           III   1   1   11           IV   1   0   10                      
 
         [0035]    Referring to FIGS. 2 and 3B, for BPSK type demodulation, the sign bit of the Real component of each phase difference is extracted by the sign bit extraction unit  295  and considered as the information bit. Thus, as shown in FIG. 3B as an example, if the sign bit is equal to a “0”, this relates to a first decision area  370 . Herein, the detected bit associated with the first decision area  370  is “0”. However, if the sign bit indicates that Real component of the phase difference is equal to “1”, a detected bit associated with a second decision area  380  is equal to “1”. Of course, this detection method may be generalized for higher order PSK modulated data by evaluating the signs of ± (R±αI), where “α” is determined by the decision areas of each particular modulation order.  
         [0036]    Referring again back to FIG. 2, the OFDM demodulator  140  includes a first select unit  285  that enables the OFDM demodulator  140  to support multiple types of PSK demodulation techniques such as DQPSK and DBPSK for example. The output of the first select unit  285  is routed to a second select unit  290 , which produces the detected bit(s) for transfer to an error correction unit (not shown).  
         [0037]    II. Channel Estimation  
         [0038]    The process of channel estimation, namely to determine the quality of carriers to be used for transmission, is performed by channel estimation logic  150  of FIG. 2. This logic  150  examines the received carriers over N symbols (where “N” is a positive whole number) so that there will be N points on the complex plane  300  for each carrier.  
         [0039]    Referring to FIG. 4, an exemplary embodiment illustrating operations for channel estimation for BPSK signaling is shown. For this embodiment, the channel estimation logic includes logic  400  to separate each Real (R) value component of the phase differences from its corresponding Imaginary (I) value component. The phase difference is normally a complex value having Real and Imaginary components (R+I). For BPSK type demodulation, the estimation areas are established by a set of boundary constraint lines  510  and  520  (aR+I=0; aR−I=0). These boundary constraint lines  510  and  520  are established through a multiplier  410  and a signal measurement unit  420 . The multiplier  410  computes a parameterized Real component “aR”. The parameter “a” is calculated based on an acceptable BER level.  
         [0040]    The signal measurement unit  420  comprises adders  430  and  440  along with sign bit extractor units  450  and  460 . As shown in FIG. 5, for N symbols, successive signed 2&#39;s-complement representations for SignBit(aR+I) and logical NOT operations for SignBit(aR−I) (hereinafter referred to as “˜SignBit(aR−I)”) are computed to determine how many symbols falls within the estimation area  530 . If at least “P” symbols falls within the estimation area  530  (P≦N and P is a selected threshold), the carrier is estimated to be reliable. This may warrant more data to be encoded on the carrier. Otherwise, if less than “P” symbols are determined to fall inside the estimation area  530  of a Real-Imaginary plane  500 , the received carrier is determined to be unreliable. Such unreliability may require the carrier to be non-data carrying or encoded with less data than normal.  
         [0041]    The quality of a carrier depends on fading, noise and interference levels received in each frequency bin, measured based on the variance of the N received samples. Higher levels of noise and interference will scatter the representations for the received symbols further around the signal constellation. Herein, in this embodiment, the estimation area  530  is limited to a smaller portion of complex plane  500  as described. This area is defined based on selected acceptable noise and interference level. In one type of application, a frequency bin will be used for transmission, if a certain percentage of the N symbols on that bin fall within the specified limited area. Another type of application is when multiple copies of a symbol are transmitted over different frequency bins (frequency diversity). In this type of application, the percentage may be used as the combining ratio of the transmitted symbol over the frequency bin. As shown in FIG. 5, the estimation areas used for channel estimation in DBPSK mode are shown.  
         [0042]    For the embodiment of the channel estimation logic  150  of FIG. 4, the received carrier is compared to the limited boundary and a counter  470  will count this carrier if it falls within the limits. For each carrier, this process will be repeated over N symbols. Handled by a comparator  480 , the total count determined by the counter  470  is then compared to a threshold (T) to declare pass or fail for this carrier, or its value may be used as its ratio in diversity combining. Based on one of the four combinations obtained for LSB and MSB, the comparator  480  will determine that the received signal is placed in which region of FIG. 5. (e.g. values “11” and “00” can indicate reception in the region  530  of FIG. 5). For this embodiment, the counter  470  simply counts the occurrence of all receptions in region  530 .  
         [0043]    Referring to FIG. 6, an exemplary embodiment illustrating operations for channel estimation for QPSK signaling is shown. For this embodiment, the channel estimation logic  150  includes logic  600  to separate Real (R) value components of the phase difference from its Imaginary (I) value components. The phase difference is normally a complex value having Real and Imaginary components (R+I). For QPSK type demodulation, the estimation areas are established by two sets of boundary constraint lines  705 ,  710  and  715 ,  720  (aR+I=0 and aR−I=0; −R/a−I=0 and −R/a+I=0), where the number of received signals will be counted in all four resultant boundary constraint regions  725 ,  730 ,  735  and  740  for better accuracy.  
         [0044]    As shown in FIG. 7, these boundary constraint lines  705 ,  710 ,  715  and  720  are established through a pair of multipliers  610  and  615  and a signal measurement unit  620 . The multiplier  610  computes a parameterized Real component “aR” while multiplier  615  computes Real component “−R/a”. As mentioned above, the parameter “a” is calculated based on an acceptable BER level.  
         [0045]    The signal measurement unit  620  comprises adders  625 ,  630 ,  635  and  640  along with sign bit extraction units  645 ,  650 ,  655  and  660 . As shown, for N symbols, successive signed 2&#39;s-complement representations for the phase differences (aR+I), (−R/a+I), (aR−I) and (−R/a−I) is conducted. The signed 2&#39;s-complement representation of the phase differences are computed to determine how many symbols fall within the boundary constraint area  530 . This may be accomplished by extracting a sign bit for 2&#39;s complement representations of phase differences (aR+I) and (−R/a+I) as well as (aR−I) and (−R/a−I) after undergoing a logical NOT operation.  
         [0046]    As a result, if SignBit(aR+I) and ˜SignBit(aR−I) is equal to “01”, the particular symbol is associated with estimated area  725  of a complex plane  700 . If SignBit(aR+I) and ˜SignBit(aR−I) is equal to “10”, the received symbol is associated with estimated area  735  of the complex plane  700 . Similarly, if SignBit(−R/a+I) and ˜SignBit(−R/a−I) is equal to “01”, the received symbol is associated with estimated area  730  of the complex plane  700 . If SignBit(−R/a+I) and ˜SignBit(−R/a−I) is equal to “10”, the symbol is associated with estimated area  740 .  
         [0047]    The quality of a carrier depends on fading, noise and interference levels received in each frequency bin, measured based on the variance of the N received samples. Higher levels of noise and interference will scatter the received points further around the signal constellation. Herein, in this embodiment, the estimation area is limited to a smaller portion of complex plane  500 . This area is defined based on selected acceptable noise and interference level. In one type of application, a frequency bin will be used for transmission, if a certain percentage of the N symbols on that bin fall within the specified limited area. Another type of application is when multiple copies of a symbol are transmitted over different frequency bins (frequency diversity). In this type of application, the percentage may be used as the combining ratio of the transmitted symbol over the frequency bin. As shown in FIG. 7, the decision areas used for channel estimation in DQPSK mode are shown.  
         [0048]    For this embodiment of the channel estimation logic  150 , the received carrier is compared to the limited boundary constraint lines and counters  670  and  675  will count this symbol upon falling within an estimation area  725 ,  730 ,  735  or  740 . For this embodiment, a counter may be used in which a count is incremented upon receipt of a MSB and LSB having opposite logical values. For each carrier, this process will be repeated for the N symbols. The total count, being a sum computed by the adder  680  upon being supplied count values by the counters  670  and  675 , is then compared by a comparison logic  685  to a threshold (P). The comparison is conducted to declare pass or fail for this carrier (i.e., total count≧P).  
         [0049]    In the alternative, the total count value may be used as its ratio in diversity combining. More specifically, the percentage of values that are received over a certain tone and fall within the specified area, can be used to assign a figure of merit to indicate the quality of that tone. This “figure of merit” can be used as a weight for the detected bits, which can be used in soft detection algorithms or maximal ratio combining techniques.  
         [0050]    Again, similar to the detection method, the channel estimation method may be generalized for higher order PSK modulated data.  
         [0051]    Referring now to FIG. 8, a flowchart of a software module for channel estimation in accordance with BPSK and QPSK signaling is shown. For this embodiment, channel estimation is performed by a software module, which receives the channel measurement results from hardware and produces the required tone mapping, modulation and coding rate for a given transmitter as well as soft channel weights for maximal ratio combining in the receiver.  
         [0052]    Once a new measurement of the total count over four regions (ToneCountR, ToneCountL, ToneCountU and ToneCountD) is received from hardware, overall (all four regions) measure of quality or ToneCount is calculated for each carrier (see blocks  820  and  830  ). The method of calculation differs between the QPSK and BPSK modulation schemes. For example, for DQPSK, the total count is determined by a first calculation method: 
         ToneCount( n )=128×(ToneCount R ( n )+ToneCount L ( n )+ToneCount U ( n )+ToneCount D  ( n ))for  n =0, . . . ,  N −1  (1) 
         [0053]    And for DBPSK, the total count is determined by a second calculation method as shown in block  830 :  
         ToneCount( n )=128×(ToneCount R ( n )+ToneCount L ( n )) for  n =0, . . . ,  N− 1  (2) 
         [0054]    A “scaler,” selected to be any predetermined value such as “128,” is optionally used to reduce round-off noise in future calculations. A higher ToneCount value normally indicates a better quality for a specific carrier. To combat the effect of the narrowband interference, an index called “ImBalance” is calculated for each carrier (see also blocks  820  and  830 ). Those carriers that are affected by the narrowband interference are reduced in value using the ImBalance index. For DQPSK, the ImBalance index is equal to the following: 
         ImBalance( n )=|ToneCount R ( n )−ToneCount L ( n )|+|ToneCount U ( n )−ToneCount D ( n )| for  n =0, . . . ,  N− 1  (3) 
         [0055]    For DBPSK, the ImBalance index is equal to the following: 
         ImBalance( n )=|ToneCount R ( n )−ToneCount L ( n )| for  n =0, . . . ,  N− 1  (4) 
         [0056]    If the ImBalance index for any of the carriers is greater than a threshold Ti (see block  840  ), the carrier quality index or ToneCount is reduced in value. Otherwise, ToneCount for each carrier does not require a reduction. The new ToneCounts are then obtained as follows for equation (5) and block  850 :  
                 ToneCount        (   n   )       =       BlockSize   ×     ToneCount        (   n   )           BlockSize   +     w   ×     ImBalance        (   n   )                    
              for                 n     =   0     ,   …              ,     N   -     1                 and                 w                 is                 a                 constant                 factor                 (   5   )                               
 
         [0057]    for n=0, . . . , N−1 and w is a constant factor  
         [0058]    After calculating per carrier quality measures or ToneCounts based on the latest estimation report from the hardware, an accumulated measure of carriers&#39; quality is calculated using previously available channel information. This is called “ToneValue” or accumulated measure of quality for each carrier for a given ToneMap Index. The past estimate of the carriers&#39; quality is blended with the new channel measurements or ToneCounts. The weight of the old measurements or ToneValues depends on the number of past channel observations and the time elapsed from the last received channel report. This time dependent variable is named “TotalCount”. The following equations (6)-(8) show how TotalCount and ToneValues are updated (see blocks  860 - 880 ).  
             TotalCount   =     TotalCount   ×     Λ        (     t   Ts     )                 (   6   )                               
 
                 ToneValue        (   n   )       =         TotalCount   ×     ToneValue        (   n   )         +     ToneCount        (   n   )           TotalCount   +   BlockSize              
              for                 n     =   0     ,   …              ,     N   -   1               (   7   )                               
 
         [0059]    for n=0, . . . , N−1 
         TotalCount=TotalCount+BlockSize if TotalCount&gt; L,  TotalCount= L   (8) 
         [0060]    TotalCount is initially set to zero. TotalCount can be also reduced to zero when the old measurement is “stale” or when elapsed time from last measurement report (t) is greater than Ts (a predetermined value for stale time). The Λ(t/Ts) function applies a linear factor between one and zero, where it is equal to one where t=0 and is equal to zero when t=Ts. For any time elapsed less than Ts, TotalCount can be proportionally reduced, lowering the weight of the old channel measurement. TotalCount is increased by the “BlockSize” of each new channel measurement report to a limited value of L.  
         [0061]    While certain exemplary embodiments have been described and shown in the accompanying drawings, it is to be understood that such embodiments are merely illustrative of and not restrictive on the broad invention, and that this invention not be limited to the specific constructions and arrangements shown and described, since various other modifications may occur to those ordinarily skilled in the art. For example, it may be possible to implement the invention or some of its features in hardware, firmware, software or a combination thereof.