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针对大气激光通信中低密度奇偶校验码(LDPC)置信传播(BP)译码算法复杂度高的问题,对几类BP-Based简化译码算法进行了分析,并基于最小均方误差准则(MMSE)对Scaled BP-Based和Offset BP-Based两类改进译码算法的优化设计进行了探讨,得出两类算法的最优校正因子,并给出了数值计算.在不同的湍流强度下,对码长1008的(6,3)比特填充LDPC码进行了仿真实验,结果表明,对于短码长的LDPC码,当译码BER=10-5时,最小和算法(UMP BP-Based)相对于BP算法有0.1～0.15dB的译码性能损失;基于MMSE设计的两类算法相比BP算法大大降低复杂度的同时,译码性能与BP算法相当,甚至优于BP算法,优于UMP BP-Based算法0.075～0.15dB.
Aiming at the high complexity of Low Density Parity Check Code (LDPC) belief propagation (BP) decoding algorithm in atmospheric laser communication, several types of BP-Based simplified decoding algorithm are analyzed and based on the minimum mean square error criterion MMSE), the optimal design of Scaled BP-Based and Offset BP-Based two kinds of improved decoding algorithms are discussed, and the optimal correction factors of the two algorithms are obtained and the numerical calculation is given.Under different turbulence intensities, A simulation experiment on (6,3) -bit LDPC codes with a length of 1008 is carried out. The results show that for a LDPC code with a short code length, when BER = 10-5 is decoded, the minimum and the algorithm (UMP BP-Based) Compared with BP algorithm, BP algorithm has the same performance as BP algorithm and even better than BP algorithm, which is better than UMP BP -Based algorithm is 0.075 ~ 0.15dB.