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Error probability analysis of fiber optics channels in present of nonlinear phase noise

机译:非线性相位噪声存在下光纤通道的误差概率分析

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The theoretical analysis of bit error ratio (BER) of the bit-interleaved coded modulation (BICM) system depends on the probability density function (p.d.f) of log-likelihood ratios (L-values). However, the p.d.f of L-values do not have an analytic form for the fiber channels with nonlinear phase noise. In order to solve this problem, we introduce two estimators for the cumulant generating function (CGF) and its derivatives in this paper. The first estimator is directly from its definition. The second estimator is based on k-statistics. We conduct the numerical simulations to evaluate the performance of these two estimators. The numerical results show that, for matched decoding metric, the first estimator is consistent with the simulation results from low to high signal-to-noise (SNR) region whereas the second estimator is only valid from low to middle SNR region. For mismatched decoding metric, the saddlepoint deviates the expectation value of 0.5 and leads to unreliable results. With these estimators, the performance of a BICM system for fiber optic channels can be quickly evaluated without the implementation of coder and decoder.
机译:比特交错编码调制(BICM)系统的比特误码率(BER)的理论分析取决于对数似然比(L值)的概率密度函数(p.d.f)。但是,对于具有非线性相位噪声的光纤通道,L值的p.d.f不具有解析形式。为了解决这个问题,在本文中,我们介绍了累积量生成函数(CGF)及其导数的两个估计器。第一个估计量直接来自其定义。第二个估计量基于k统计量。我们进行数值模拟以评估这两个估计器的性能。数值结果表明,对于匹配的解码度量,第一个估计器与从低到高信噪比(SNR)区域的仿真结果一致,而第二个估计器仅在从低到中等SNR区域有效。对于不匹配的解码指标,鞍点偏离了期望值0.5,并导致结果不可靠。利用这些估计器,无需实现编码器和解码器,就可以快速评估BICM系统用于光纤通道的性能。

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