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An efficient post processing scheme to lower the error floor of LDPC decoders

机译:降低LDPC解码器错误基底的有效后处理方案

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Low-Density Parity-Check (LDPC) codes have extensive applications in numerous communication systems. However, iterative LDPC decoders may suffer from error floor. In this paper, a low complexity post processing scheme (PPS) is proposed to significantly improve the error correction performance of a Min-Sum based LDPC decoder in the error floor region. Instead of using trapping set elimination algorithms, the proposed PPS introduces perturbations so that a decoder can escape from undesired local maximums. After decoding failure, for these unreliable code bits, the proposed PPS generates carefully modified soft messages, which are employed in the following decoding iterations. Numerical results demonstrate that the presented PPS significantly lowers the error floor for simulated LDPC codes.
机译:低密度奇偶校验(LDPC)码在众多通信系统中具有广泛的应用。但是,迭代LDPC解码器可能会遇到错误底限。本文提出了一种低复杂度的后处理方案(PPS),以显着提高基于Min-Sum的LDPC解码器在错误基底区域的纠错性能。提议的PPS代替使用陷阱集消除算法,引入了扰动,以便解码器可以摆脱不希望的局部最大值。解码失败后,对于这些不可靠的代码位,建议的PPS会生成经过仔细修改的软消息,这些软消息将在随后的解码迭代中使用。数值结果表明,提出的PPS大大降低了模拟LDPC码的错误基底。

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