Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error

Francesca Diedolo, Georg Böcherer, Maximilian Schädler, S. Calabrò
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引用次数: 6

Abstract

An entropy-regularized mean square error (MSE-X) cost function is proposed for nonlinear equalization of short-reach optical channels. For a coherent optical transmission experiment, MSE-X achieves the same bit error rate as the standard MSE cost function and a significantly higher achievable information rate.
基于熵正则化均方误差的光通信非线性均衡
提出了一种熵正则化均方误差(MSE-X)代价函数用于短波光信道的非线性均衡。在相干光传输实验中,MSE- x实现了与标准MSE代价函数相同的误码率,且可实现的信息率明显更高。
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