1 / 18

An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes

An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes. Tinoosh Mohsenin, Dean Truong and Bevan M. Baas VLSI Computation Lab, ECE Department University of California, Davis. Outline. Introduction LDPC Decoding Goals and Key Features Split-Row Threshold Decoding Method

landis
Télécharger la présentation

An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An Improved Split-Row Threshold Decoding Algorithm for LDPC Codes Tinoosh Mohsenin, Dean Truong and Bevan M. Baas VLSI Computation Lab, ECE Department University of California, Davis

  2. Outline • Introduction LDPC Decoding • Goals and Key Features • Split-Row Threshold Decoding Method • Error Performance Results • Split-Row Threshold Decoder Implementation and Results • Conclusion

  3. LDPC Decoding • Message passing decoding • LDPC decoding challenges • High interconnect complexity for large number of processing nodes • Large delay, area, and power dissipation caused by long and global wire

  4. Outline • Introduction to LDPC Decoding • Goals and Key Features • Split-Row Threshold Decoding Method • Error Performance Results • Split-Row Threshold Decoder Implementation and Results • Conclusion

  5. LDPC Decoder Design Goals and Features • Key goals • Very high throughput and high energy efficiency • Area efficient (small circuit area) • Well suited for long-length and large row weight LDPC codes • Easy implementation with automatic CAD tools • Good error performance • Split-Row decoding key features • Reduced interconnect complexity • Reduced processor complexity T. Mohsenin and B. Baas, “Split-row: A reduced complexity, high throughput LDPC decoder architecture,” in ICCD, 2006 T. Mohsenin and B. Baas, “High-throughput LDPC decoders using a multiple Split- Row method,” in ICASSP, 2007

  6. 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 0 H = 0 0 1 1 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 H H split - sp 0 split - sp 1 C 1 C 1 sp 1 sp 0 V 10 V 8 V 3 V 5 Standard vs. Split-Row Decoding standard decoding Split-Row decoding reduction of check processor area reduction of input wires to check processor

  7. MinSum vs. MinSum Split-Row Sign Magnitude MinSum: MinSum Split-Row:

  8. Outline • Introduction to LDPC Decoding • Goals and Key Features • Split-Row Threshold Decoding Method • Error Performance Results • Split-Row Threshold Decoder Implementation and Results • Conclusion

  9. MinSum Split-Row Threshold Algorithm • A signal (Threshold_en) is passed from each partition, which indicates whether a partition has a minimum less than a given threshold (T). • Based on Threshold_en status, the check nodes take as their minimum of their own local Min or T. • Optimum threshold value (T) is obtained by empirical simulations Threshold_en Sp1=1 Threshold_en Sp0=0 MinSum Split-Row Threshold:

  10. Impact of Threshold Selection 15 decoding iterations SNR=4.2 dB • (6,32) (2048,1723) LDPC Code • Optimum threshold (T) is independent of SNR and decoding iteration Optimum T=0.2 Optimum T=0.2

  11. Outline • Introduction to LDPC Decoding • Goals and Key Features • Split-Row Threshold Decoding Method • Error Performance Results • Split-Row Threshold Decoder Implementation and Results • Conclusion

  12. Error Performance for (16,4) (1536,1155) LDPC Code • In the Plot: • BPSK modulation • AWGN channel • Based on 80 error blocks • Maximum 15 iterations • SPA: Sum Product Algorithm • MS: MinSum Normalized • For MS Split-Row Threshold T=0.3 0.08dB 0.42 dB

  13. 32/Spn variable nodes Multi-Split-Row Threshold Decoding • Divide parity check matrix to Spn (Spn>2) partitions • Partitioning can be arbitrary so long as there are at least two variable nodes per partition • Example: (6,32) (2048,1723) LDPC Code

  14. Error Performance for (2048,1723) 10GBASE-T Code • MS Split-Row-2 Threshold is 0.07 dB away from MS • MS Split-Row-16 Threshold is 0.22 dB away from MS and is 0.12 dB better than Split-Row-2 Original. 0.22 dB 0.12 dB

  15. Outline • Introduction to LDPC Decoding • Goals and Key Features • Split-Row Threshold Decoding Method • Error Performance Results • Split-Row Threshold Decoder Implementation and Results • Conclusion

  16. Comparison of Decoders (6,32) (2048,1723) 10GBASE-T code with 15 decoding iterations.

  17. Conclusion • Split-Row Threshold algorithm improves the error performance when compared with original Split-Row. • Split-Row Threshold allows for high level of partitionings without losing significant error performance. • Higher level of partitioning reduces the number of connections between check and variable processors. This results in a higher logic utilization, smaller and faster circuits. • We can meet the demands of high speed applications while obtaining very low area when compared to standard decoding.

  18. Acknowledgements • Support • ST Microelectronics • NSF Grant 430090 and CAREER award 546907 • Intel • SRC GRC Grant 1598 and CSR Grant 1659 • Intellasys • UC Micro • SEM • Special thanks • Professor Shu Lin

More Related