Stochastic decoding for LDPC convolutional codes

Xin Ru Lee*, Chih Lung Chen, Hsie-Chia Chang, Chen-Yi Lee

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Among LDPC codes, LDPC convolutional codes (LDPC-CCs) seem to be more suitable for variable length applications. However, a LDPC-CC decoder is difficult to implement for its long latency and large storage usage. The stochastic computation makes the decoding of LDPC-CCs more efficient, but the boundary effect of sliding window causes poor performance. In this paper, a stochastic LDPC-CC decoder with virtual edge compensation as well as decoder architecture is presented. The simulation results based on (491, 3, 6) time-varying LDPC-CC show that under the same signal-to-noise ratio, our proposed decoder could achieve better performance, 60% less decoding latency and 40% storage reduction compared to log-BP decoder with 10 processors.

Original languageEnglish
Pages2621-2624
Number of pages4
DOIs
StatePublished - 28 Sep 2012
Event2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of
Duration: 20 May 201223 May 2012

Conference

Conference2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
CountryKorea, Republic of
CitySeoul
Period20/05/1223/05/12

Keywords

  • LDPC convolutional codes
  • stochastic decoding

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