Granted Patent B2

US 7,940,864 · App. 12/110,637 · Granted May 10, 2011

Abstract

Claims (45)

1. A method of applying a fast algorithm to a channel estimation process, said method comprising:

receiving, in a receiver, a signal comprising information bits transmitted in a wireless channel;

executing a pilot-based channel estimation process running on a decision-directed turbo estimation procedure having a p structure for a vector of pilots and an upper bound N for a channel spread based on a feedback of detected information bits via Orthogonal Frequency Division Multiplexing (OFDM), wherein said p and said N are integers;

encoding said detected information bits;

re-encoding said detected information bits at a decoder output after the encoding occurs;

re-constructing and subtracting an intercarrier interference (ICI) term from said received signal;

modulating said detected information bits after the re-encoding and the re-constructing and subtracting occurs;

estimating channel symbols in a per-carrier basis based on a diagonal matrix of a full matrix involved in said pilot-based channel estimation; and

performing training of said wireless channel based on an entire vector of said channel symbols.

2. The method of claim 1 , further comprising re-estimating said channel symbols based on a correct symbol decision.

3. The method of claim 2 , further comprising approximating an effective noise of said received signal based on a channel noise if a channel estimation error is small after a first iteration of said turbo estimation procedure.

4. The method of claim 3 , further comprising computing a recursive estimate of the total noise power of a noise source, said noise source comprising at least one of a quantization noise source and a model imperfection noise source affecting said received signal.

5. The method of claim 3 , wherein said first iteration of said turbo estimation procedure and said effective noise of said received signal are based on said channel noise.

6. The method of claim 1 , further comprising reconstructing said ICI term through a pilot vector.

7. The method of claim 1 , wherein said receiver comprises any of a block linear minimum mean-square-error (MMSE) and a block MMSE Decision Feedback Equalizer (DFE) receiver.

8. A non-transitory program storage device readable by computer, tangibly embodying a program of instructions executable by said computer to perform a method of applying a fast algorithm to a channel estimation process, said method comprising:

receiving, in a receiver, a signal comprising information bits transmitted in a wireless channel;

executing a pilot-based channel estimation process running on a decision-directed turbo estimation procedure having a p structure for a vector of pilots and an upper bound N for a channel spread based on a feedback of detected information bits via Orthogonal Frequency Division Multiplexing (OFDM), wherein said p and said N are integers;

encoding said detected information bits;

re-encoding said detected information bits at a decoder output after the encoding occurs;

re-constructing and subtracting an intercarrier interference (ICI) term from said received signal;

modulating said detected information bits after the re-encoding and the re-constructing and subtracting occurs;

estimating channel symbols in a per-carrier basis based on a diagonal matrix of a full matrix involved in said pilot-based channel estimation; and

performing training of said wireless channel based on an entire vector of said channel symbols.

9. The program storage device of claim 8 , wherein said method further comprises re-estimating said channel symbols based on a correct symbol decision.

10. The program storage device of claim 9 , wherein said method further comprises approximating an effective noise of said received signal based on a channel noise if a channel estimation error is small after a first iteration of said turbo estimation procedure.

11. The program storage device of claim 10 , wherein said method further comprises computing a recursive estimate of the total noise power of a noise source, said noise source comprising at least one of a quantization noise source and a model imperfection noise source affecting said received signal.

12. The program storage device of claim 10 , wherein said first iteration of said turbo estimation procedure and said effective noise of said received signal are based on said channel noise.

13. The program storage device of claim 8 , wherein said method further comprises reconstructing said ICI term through a pilot vector.

14. The program storage device of claim 8 , wherein said receiver comprises any of a block linear minimum mean-square-error (MMSE) and a block MMSE Decision Feedback Equalizer (DFE) receiver.

15. An apparatus for applying a fast algorithm to a channel estimation process, said apparatus comprising:

a receiver that receives a signal comprising information bits transmitted in a wireless channel;

a memory unit operatively connected to said receiver and comprising a programmable set of instructions;

a display unit operatively connected to said memory unit;

a processor that executes said set of instructions, wherein said processor executes a pilot- based channel estimation process running on a decision-directed turbo estimation procedure having a p structure for a vector of pilots and an upper bound N for a channel spread based on a feedback of detected information bits via Orthogonal Frequency Division Multiplexing (OFDM), wherein said p and said N are integers;

a Viterbi decoder operatively connected to said processor;

an encoder that encodes said detected information bits and re-encodes, after the encoding occurs, said detected information bits at an output of said Viterbi decoder; and

a modulator that modulates said detected information bits;

wherein said processor (i) re-constructs and subtracts an intercarrier interference (ICI) term from said received signal; (ii) estimates channel symbols in a per-carrier basis based on a diagonal matrix of a full matrix involved in said pilot-based channel estimation; and (iii) performs training of said wireless channel based on an entire vector of said channel symbols, and

wherein said modulator modulates said detected information bits after the re-encoding and the re-constructing and subtracting occurs.

16. The apparatus of claim 15 , wherein said processor re-estimates said channel symbols based on a correct symbol decision; and approximating an effective noise of said received signal based on a channel noise if a channel estimation error is small after a first iteration of said turbo estimation procedure.

17. The apparatus of claim 16 , wherein said processor computes a recursive estimate of the total noise power of a noise source, said noise source comprising at least one of a quantization noise source and a model imperfection noise source affecting said received signal.

18. The apparatus of claim 16 , wherein said first iteration of said turbo estimation procedure and said effective noise of said received signal are based on said channel noise.

19. The apparatus of claim 15 , wherein said processor reconstructs said ICI term through a pilot vector.

20. The apparatus of claim 15 , wherein said receiver comprises any of a block linear minimum mean-square-error (MMSE) and a block MMSE Decision Feedback Equalizer (DFE) receiver.

Assignments (23)