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中文摘要：
针对目前现有的信噪比（SNR）估计方法不适用光通信中乘性噪声信道的问题，分析了乘性噪声信道下，SNR失配对低密度奇偶校验（LDPC）码性能的影响，并通过仿真表明乘性噪声信道下SNR精确估计的必要性。提出了一种基于量化的LDPC码判决反馈的SNR估计方法，首先对接收到的光信号进行量化，利用简化后的期望最大（EM）算法对量化后的SNR进行一次粗估计，接着利用基于LDPC迭代译码的判决反馈结果对SNR进行精估计。仿真结果表明，本方法能够在接收信号的均值和噪声方差等参数未知情况下，能有效完成LDPC码迭代译码的辅助工作；在误码率（BER）为10^-5时，SNR估计后，LDPC码的译码性能距离理想情况下的译码性能，仅有约0．12dB以内损失。
英文摘要：
As the classical signaPto-noise ratio （SNR） estimation algorithms based on additive white Gaussian noise （AWGN） model can＇t be applied to multiplicative noise channel in optical communication systems,the effects of SNR mismatch on low-density parity-check （LDPC） decoding performance are analyzed in this paper. The simulation results prove that accurate SNR estimation is also necessary in the multiplicative noise channel for optical communication systems. An SNR estimation algorithm based on quantization LDPC decision feedback is proposed. The received optical signal is quantified, and the quantization SNR could be estimated roughly by the simplified expectation maximization （EM） algorithm and hard decision from LDPC decoding, and then the iterative LDPC decision feedback is used as accurate SNR estimation. The simulation results show that iterative decoding-aided process of LDPC codes can be accomplished effectively without known parameters of the mean of the received signal and the noise vari ance. What＇s more,after the SNR is estimated with the proposed method,there is only about 0. 12 dB loss for the LDPC decoding performance at the bit error rate （BER） of 10.5 compared with the ideal condition.
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