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A decoding algorithm for finite-geometry LDPC codes
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DOI：10.1109/TCOMM.2005.843413.png)
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In this paper, we develop a new low-complexity algorithm to decode low-density parity-check (LDPC) codes. The developments are oriented specifically toward low-cost, yet effective, decoding of (high-rate) finite-geometry (FG) LDPC codes. The decoding procedure updates iteratively the hard-decision received vector in search of a valid codeword in the vector space. Only one bit is changed in each iteration, and the bit-selection criterion combines the number of failed checks and the reliability of the received bits. Prior knowledge of the signal amplitude and noise power is not required. An optional mechanism to avoid infinite loops in the search is also proposed. Our studies show that the algorithm achieves an appealing tradeoff between performance and complexity for FG-LDPC codes.
Keyword:
belief propagation (BP)
bit-flipping (BF) decoding
block codes
cyclic codes
low-density parity-check (LDPC) codes
min-sum algorithm
soft-decision decoding
sum-product algorithm (SPA)
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期刊
IF:
8.3
论文数:
1.2W
被引数:
3.6W
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Reduced complexity iterative decoding of low-density parity check codes based on belief propagation基于置信传播的低密度奇偶校验码迭代译码复杂度降低
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