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Spectrum-narrowing tolerant signal-processing algorithm using maximum-likelihood sequence estimation for coherent optical detection

机译:基于最大似然序列估计的相干容忍光信号处理算法

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摘要

A digital signal-processing algorithm that is robust against strong spectrum- narrowing is proposed for optical coherent optical receivers. High spectrum-narrowed tolerance is achieved by using a hybrid architecture composed of spectrum-narrowing adaptive FIR filters with concatenated maximum-likelihood sequence estimation demodulators. A numerical simulation shows that the proposed algorithm can demodulate severely spectrum-narrowed signals, even at 80% of the bandwidth of a Nyquist pulse-shaping criterion filter.
机译:提出了一种针对强相干性强的数字信号处理算法,用于光学相干光接收机。通过使用由频谱窄化的自适应FIR滤波器与串联的最大似然序列估计解调器组成的混合体系结构,可以实现较高的频谱窄化容差。数值仿真表明,该算法即使在奈奎斯特脉冲整形标准滤波器带宽的80%时,也可以对频谱狭窄的信号进行严重解调。

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