Efficient low-complexity and low-latency forward error correction (FEC) decoding is vital in high-speed optical receivers. The weighted bit-flipping (WBF) decoding algorithm is a low-complexity and high-performance iterative decoder for low-density parity-check (LDPC) codes, devised for symmetric Gaussian channels. In this paper, we present a generalization of the WBF algorithm and its variants to discrete and continuous asymmetric optical channels which have signal-dependent noises. We have employed a fully analytical approach to derive the generalized WBF decoders, and show that they can achieve a net coding gain within 0.5 dB of that of the soft-decision near-optimal decoding.

有效的低复杂度和低延迟前向纠错（FEC）解码在高速光接收器中至关重要。加权比特翻转（WBF）解码算法是针对对称高斯信道而设计的低密度奇偶校验（LDPC）码的低复杂度和高性能迭代解码器。在本文中，我们介绍了WBF算法及其对离散和连续不对称光通道的广义化，该不对称光通道具有与信号有关的噪声。我们采用了一种完全分析的方法来推导广义的WBF解码器，并表明它们可以实现比软判决接近最优解码的净编码增益低0.5 dB的净编码增益。