Difference to sum ratio factor based min-sum decoding for Low Density Parity Check Codes

Computing, Communications and Applications Conference(2012)

引用 1|浏览6
暂无评分
摘要
Low Density Parity Check Codes (LDPC) give groundbreaking performance which is known to approach Shannon's limits for sufficiently large block length. Historically and recently, LDPC have been known to give superior performance than concatenated coding. In the following paper, a proposal to modify the standard Min-Sum (MS) algorithm for decoding LDPC codes is presented. This is done by introduction of a difference to sum ratio factor, κ in the check to bit node updating process. The algorithm is further extended by implementing hard decision of the Bit-Flipping (BF) algorithm over the soft decision of MS algorithm. Simulation results demonstrate that the proposed algorithms are effective in imparting a better performance in terms of a lower bit error rate (BER) at medium to high signal to noise ratio (SNR) when compared to the traditional MS algorithm while adding fair amount of complexity.
更多
查看译文
关键词
concatenated codes,decoding,error statistics,parity check codes,ber,ldpc codes,snr,bit error rate,bit-flipping algorithm,concatenated coding,groundbreaking performance,low density parity check codes,min-sum algorithm,signal to noise ratio,sum ratio factor based min-sum decoding,dsr factor,low-density parity-check codes,bit error rate (ber),vectors,ldpc code
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要