Communication system, receiver apparatus and communicating method

• US 20040240481A1
• Filed: 04/05/2004
• Published: 12/02/2004
• Est. Priority Date: 05/23/2002
• Status: Active Grant

• Current Assignee: Mitsubishi Denki Kabushiki Kaisha (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Denki Kabushiki Kaisha (Mitsubishi Electric Corporation)
• Inventors: Matsumoto, Wataru
• Granted Patent: US 7,460,610 B2
• Time in Patent Office: Days
• US Class Current: 370/516
• CPC Class Codes: H03M 13/1102 Codes on graphs and decoding on graphs, e.g. low-density parity check [LDPC] codes
• CPC Class Codes: H03M 13/336 Phase recovery
• CPC Class Codes: H04L 1/0041 Arrangements at the transmitter end
• CPC Class Codes: H04L 1/005 Iterative decoding, including iteration between signal detection and decoding operation
• CPC Class Codes: H04L 1/0057 Block codes H04L1/0061, H04L1/0064 take precedence
• CPC Class Codes: H04L 1/0063 Single parity check
• CPC Class Codes: H04L 2027/003 at baseband only
• CPC Class Codes: H04L 2027/0053 Closed loops
• CPC Class Codes: H04L 2027/0067 Phase error detectors
• CPC Class Codes: H04L 27/0014 Carrier regulation of chaotic carriers H04L27/001; for multicarrier receivers H04L27/2657
• CPC Class Codes: H04L 7/0062 detection of error based on data decision error, e.g. Mueller type detection

Abstract

A communication system includes a transmitter and a receiver. The transmitter transmits a signal encoded by a low-density parity-check (LDPC) coding. The receiver includes a decoder, a phase error estimator, and a correction unit. The decoder decodes the signal at a plurality of sampling points using a single iteration of sum-product decoding. The phase error estimator estimates a phase error of the signal using minimum mean square error (MMSE) estimation and soft decision information obtained by the sum-product decoding. The correction unit corrects the signal using the phase error.

Claims

1-10. -10. (CANCELLED).

11. A communication system comprising:

a transmitter that transmits a signal encoded by a low-density parity-check (LDPC) coding; and

a receiver that includes

a decoder that decodes the signal at a plurality of sampling points using a single iteration of sum-product decoding;

a phase error estimator that estimates a phase error of the signal using minimum mean square error (MMSE) estimation and soft decision information obtained by the sum-product decoding; and

a correction unit that corrects the signal using the phase error.

12. The communication system according to claim 11, wherein the phase error is at least one of a timing offset and a frequency offset.

13. The communication system according to claim 11, wherein the receiver includes a carrier sensor that detects carrier power of the signal, and the sampling points is determined based on the carrier power.

14. The communication system according to claim 11, wherein

the receiver includes a frame synchronous controller that obtains averages of absolute values of logarithmic likelihood ratios by the sum-product decoding, selects a maximum value out of the averages corresponding to the sampling points, and determines a communication frame by setting a sampling point corresponding to the maximum value as a sample starting point, wherein

the decoder repeatedly decodes the communication frame using sum-product decoding until one of when iteration number reaches a predetermined number and when there is no error.

15. The communication system according to claim 14, wherein the frame synchronous controller controls the decoder, the phase error estimator, and the correction unit, depending on the averages.

16. The communication system according to claim 15, wherein the frame synchronous controller compares a first average with a second average, out of the averages, the first average being an average of absolute values of latest logarithmic likelihood ratios, the second average being an average of absolute values of logarithmic likelihood ratios just before the latest logarithmic likelihood ratios, operates the decoder, the phase error estimator, and the correction unit again using the signal corrected when the first average is greater than the second average, and stops the decoder, the phase error estimator, and the correction unit when the first average is equal to or less than the second average.

17. A receiver comprising:

a decoder that decodes a low-density parity-check (LDPC) encoded signal at a plurality of sampling points using a single iteration of sum-product decoding;

a phase error estimator that estimates a phase error of the signal using minimum mean square error (MMSE) estimation and soft decision information obtained by the sum-product decoding; and

a correction unit that corrects the signal using the phase error.

18. The receiver according to claim 17, wherein the phase error is at least one of a timing offset and a frequency offset.

19. The receiver according to claim 17, further comprising a carrier sensor that detects carrier power of the signal, wherein the sampling points is determined based on the carrier power.

20. The receiver according to claim 17, further comprising a frame synchronous controller that obtains averages of absolute values of logarithmic likelihood ratios by the sum-product decoding, selects a maximum value out of the averages corresponding to the sampling points, and determines a communication frame by setting a sampling point corresponding to the maximum value as a sample starting point, wherein

the decoder repeatedly decodes the communication frame using sum-product decoding until one of when iteration number reaches a predetermined number and when there is no error.

21. The receiver according to claim 20, wherein

the frame synchronous controller controls the decoder, the phase error estimator, and the correction unit, depending on the averages.

22. The receiver according to claim 21, wherein

the frame synchronous controller compares a first average with a second average, out of the averages, the first average being an average of absolute values of latest logarithmic likelihood ratios, the second average being an average of absolute values of logarithmic likelihood ratios just before the latest logarithmic likelihood ratios, and operates the decoder, the phase error estimator, and the correction unit again using the signal corrected when the first average is greater than the second average, and stops the decoder, the phase error estimator, and the correction unit when the first average is equal to or less than the second average.

23. A communication method comprising:

decoding a low-density parity-check (LDPC) encoded signal at a plurality of sampling points using a single iteration of sum-product decoding;

estimating a phase error of the signal using minimum mean square error (MMSE) estimation and soft decision information obtained by sum-product decoding; and

correcting the signal using the phase error.

24. The communication method according to claim 23, wherein the phase error is at least one of a timing offset and a frequency offset.

25. The communication method according to claim 23, further comprising:

detecting carrier power of the signal, and

determining the sampling points based on the carrier power.

26. The communication method according to claim 23, further comprising:

obtaining averages of absolute values of logarithmic likelihood ratios by sum-product decoding;

selecting a maximum value out of the averages corresponding to the sampling points; and

determining a communication frame by setting a sampling point corresponding to the maximum value as a sample starting point, wherein

the decoding includes repeatedly decoding the communication frame using sum-product decoding until one of when iteration number reaches a predetermined number and when there is no error.

27. The communication method according to claim 26, further comprising:

comparing a first average with a second average, out of the averages, the first average being an average of absolute values of latest logarithmic likelihood ratios, the second average being an average of absolute values of logarithmic likelihood ratios just before the latest logarithmic likelihood ratios;

performing the decoding, the estimating, and the correcting again using the signal corrected when the first average is greater than the second average; and

finishing the decoding, the estimating, and the correcting when the first average is equal to or less than the second average.