电力线通信中的A类噪声模型使用LDPC码不仅可以有效抑制窄带脉冲噪声,还能通过简单有效的译码算法降低实现复杂度,提高数据传输质量。经过对LDPC的几种常用译码方法进行了分析研究,发现归一化最小和算法中的修正因子在电力线信道下是可以进行优化选择的。通过系统仿真和数据比较,结果表明,在对A类噪声模型的参数和A取值合理的情况下,优化后的归一化最小和算法在误码率上性能接近标准BP算法,复杂度得到了降低。 Class A noise model in powerline communication using LDPC codes can not only effectively suppress narrowband impulse noise, but also reduce the implementation complexity and improve data transmission quality through simple and effective decoding algorithms. After several commonly used LDPC decoding methods were analyzed and found that the normalization of the minimum and the correction factor in the algorithm can be optimized under the power line channel selection. Through the system simulation and data comparison, the results show that under the condition that the parameters of type A noise model and A are reasonable, the optimized normalization minimum algorithm approaches the standard BP algorithm in bit error rate, the complexity is Reduced.