Iterative hybrid decoding algorithm for LDPC codes based on attenuation factor

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• 作者：Minghua Liu (1)
  Lijun Zhang (1)
  
• 关键词：attenuation factor ; reliability ; based ; iterative ; majority ; logic ; low ; density parity ; check (LDPC) codes
• 刊名：Frontiers of Electrical and Electronic Engineering in China
• 出版年：2012
• 出版时间：September 2012
• 年：2012
• 卷：7
• 期：3
• 页码：279-285
• 全文大小：163KB
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• 作者单位：Minghua Liu (1)
  Lijun Zhang (1)
  
  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China
  
• ISSN：1673-3584

文摘

An attenuated iterative reliability-based majority-logic (AIML) decoding algorithm for low-density parity-check (LDPC) codes is proposed, which pertains to hybrid decoding schemes. The algorithm is devised based on the orthogonal check-sums of one-step majoritylogic (OSMLG) decoding algorithm in conjunction with certain of reliability measures of the received symbols. Computation of reliability measure of the syndrome sum is refined by introducing an attenuation factor. Simulation results show that, in binary-input additive white Gaussian noise (BI-AWGN) channel, the AIML decoding algorithm outperforms other popular iterative reliability-based majority-logic (IML) decoding algorithms with a slight increase in computational complexity. Within maximum iteration number of 5, the AIML algorithm can achieve almost identical error performance to sum-product algorithm (SPA). No error floor effect can be observed for the AIML algorithm down to the bit error rate (BER) of 10?, while error floor appears for SPA around the BER of 10? even with maximum iteration number of 100. Furthermore, the inherent feature of parallel procession for AIML algorithm enforces the decoding speed in contrast to those serial decoding schemes, such as weighted bit-flipping (WBF) algorithm.