Method and system for low complexity conjugate gradient based equalization in a wireless system
View Patent ↗A method for processing signals includes, in a wireless system comprising one or more processors and/or circuits integrated within a single chip, initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm. A plurality of filter taps may be updated utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on the initialized values and at least one signal-to-noise ratio (SNR) for the received signal clusters. At least a portion of the received signal clusters may be filtered utilizing at least a portion of the updated plurality of filter taps. The updating may be repeated whenever a specified signal-to-noise ratio (SNR) for the received clusters is reached. The initialized values may be updated during a plurality of iterations.
1. A method for processing signals, the method comprising:
in a wireless system comprising one or more processors and/or circuits integrated within a single chip:
initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm;
updating a plurality of filter taps utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on said initialized values and at least one signal-to-noise ratio (SNR) for said received signal clusters; and
filtering at least a portion of said received signal clusters utilizing at least a portion of said updated plurality of filter taps.
2. The method according to claim 1 , comprising repeating said updating whenever a specified signal-to-noise ratio (SNR) for said received clusters is reached.
3. The method according to claim 1 , comprising updating said initialized values during a plurality of iterations.
4. The method according to claim 3 , comprising repeating said update whenever a specified number of said plurality of iterations is reached.
5. The method according to claim 1 , comprising generating a plurality of chip-rate synchronously sampled signals utilizing said plurality of received clusters.
6. The method according to claim 5 , comprising generating said plurality of chip-rate synchronously sampled signals utilizing a chip clocking signal.
7. The method according to claim 5 , comprising generating said at least one correlation vector utilizing said plurality of chip-rate synchronously sampled signals.
8. The method according to claim 1 , wherein said at least one correlation vector comprises a complex conjugate of a plurality of chip-rate synchronously sampled signals, said plurality of chip-rate synchronously sampled signals based on said plurality of received clusters.
9. The method according to claim 1 , comprising updating said at least one channel response vector and said at least one correlation vector, based on a minimum-mean-square-error (MMSE) algorithm.
10. The method according to claim 1 , comprising generating at least one estimate of said plurality of received clusters based on said filtering.
11. A wireless system for processing signals in a receiver, the wireless system comprising one or more processors and/or circuits integrated within a single chip, the one or more processors and/or circuits enabling:
initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm;
updating a plurality of filter taps utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on said initialized values and at least one signal-to-noise ratio (SNR) for said received signal clusters; and
filtering at least a portion of said received signal clusters utilizing at least a portion of said updated plurality of filter taps.
12. The system according to claim 11 , wherein the one or more processors and/or circuits enable repeating said updating whenever a specified signal-to-noise ratio (SNR) for said received clusters is reached.
13. The system according to claim 11 , wherein the one or more processors and/or circuits enables updating of said initialized values during a plurality of iterations.
14. The system according to claim 13 , wherein the one or more processors and/or circuits enables repeating of said update whenever a specified number of said plurality of iterations is reached.
15. The system according to claim 11 , wherein the one or more processors and/or circuits enables generating of a plurality of chip-rate synchronously sampled signals utilizing said plurality of received clusters.
16. The system according to claim 15 , wherein the one or more processors and/or circuits enables generating of said plurality of chip-rate synchronously sampled signals utilizing a chip clocking signal.
17. The system according to claim 15 , wherein the one or more processors and/or circuits enables generating of said at least one correlation vector utilizing said plurality of chip-rate synchronously sampled signals.
18. The system according to claim 11 , wherein said at least one correlation vector comprises a complex conjugate of a plurality of chip-rate synchronously sampled signals, said plurality of chip-rate synchronously sampled signals based on said plurality of received clusters.
19. The system according to claim 11 , wherein the one or more processors and/or circuits enables updating of said at least one channel response vector and said at least one correlation vector, based on a minimum-mean-square-error (MMSE) algorithm.
20. The system according to claim 11 , wherein the one or more processors and/or circuits enables generating of at least one estimate of said plurality of received clusters based on said filtering.
21. A non-transitory computer-readable medium having stored thereon, a computer program having at least one code section for processing signals in a receiver, the at least one code section being executable by a computer for causing the computer to perform steps comprising:
initializing values related to at least one channel response vector and at least one correlation vector using a conjugate gradient-based (CG) algorithm;
updating a plurality of filter taps utilizing at least one channel response vector and at least one correlation vector, for a plurality of received clusters, based on said initialized values and at least one signal-to-noise ratio (SNR) for said received signal clusters; and
filtering at least a portion of said received signal clusters utilizing at least a portion of said updated plurality of filter taps.
22. The computer-readable medium according to claim 21 , comprising code for repeating said updating whenever a specified signal-to-noise ratio (SNR) for said received clusters is reached.
23. The computer-readable medium according to claim 21 , comprising code for updating said initialized values during a plurality of iterations.
24. The computer-readable medium according to claim 23 , comprising code for repeating said update whenever a specified number of said plurality of iterations is reached.
25. The computer-readable medium according to claim 21 , comprising code for generating a plurality of chip-rate synchronously sampled signals utilizing said plurality of received clusters.
26. The computer-readable medium according to claim 25 , comprising code for generating said plurality of chip-rate synchronously sampled signals utilizing a chip clocking signal.
27. The computer-readable medium according to claim 25 , comprising code for generating said at least one correlation vector utilizing said plurality of chip-rate synchronously sampled signals.
28. The computer-readable medium according to claim 21 , wherein said at least one correlation vector comprises a complex conjugate of a plurality of chip-rate synchronously sampled signals, said plurality of chip-rate synchronously sampled signals based on said plurality of received clusters.
29. The computer-readable medium according to claim 21 , comprising code for updating said at least one channel response vector and said at least one correlation vector, based on a minimum-mean-square-error (MMSE) algorithm.
30. The computer-readable medium according to claim 21 , comprising code for generating at least one estimate of said plurality of received clusters based on said filtering.