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arXiv 2607.17135eess.SP

相干光系统中基于功率的非线性加德纳定时误差检测器的四阶循环平稳分析

Fourth-Order Cyclostationary Analysis of Power-Based Nonlinear Gardner Timing Error Detectors in Coherent Optical Systems

Zhongxing Tian, Zeyu Feng, Huan Huang, Dongdong Zou, Gangxiang Shen, Yi Cai

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中文总结 AI 辅助

研究相干光系统中基于功率的非线性加德纳定时误差检测器,开发四阶循环平稳分析框架,以平方加德纳TED为例,通过矩-累积量分解解释CT分量特性,表征多种因素影响,经模拟验证,为相关检测器提供统一统计基础。

中文摘要 AI 辅助

基于功率的非线性加德纳定时误差检测器(TEDs)可增强低滚降和带宽受限相干光系统中的时钟音调(CT)提取。但其非线性功率域操作使提取的CT分量依赖高阶循环统计,二阶循环平稳分析无法完全表征。本文以平方加德纳TED(SG-TED)为例,为基于功率的加德纳型TEDs开发了四阶循环平稳分析框架。通过矩-累积量分解,将CT分量分离为可维克约简项和与累积量相关的非高斯项,分别解释其与传统加德纳/戈达德机制的联系以及与调制和分布相关的行为。该框架还表征了脉冲整形、概率整形、偏振旋转和偏振模色散(PMD)的影响。数值评估和波形级蒙特卡罗模拟验证了分析,并证明该框架是SG-TED和相关基于功率的加德纳型TEDs的统一统计基础。

英文摘要

Power-based nonlinear Gardner timing error detectors (TEDs) can enhance clock-tone (CT) extraction in low-roll-off and bandwidth-limited coherent optical systems. However, their nonlinear power-domain operations make the extracted CT components depend on higher-order cyclic statistics, which cannot be fully characterized by second-order cyclostationary analysis. In this paper, we develop a fourth-order cyclostationary analytical framework for power-based Gardner-type TEDs, using the square-Gardner TED (SG-TED) as a representative case. We show that the SG-TED CT originates from the symbol-rate cyclic component of the power-process autocorrelation function (CAF), revealing its fourth-order cyclic-statistical origin in the received complex field. Through moment-cumulant decomposition, the CT component is separated into a Wick-reducible term and a cumulant-related non-Gaussian term, which respectively explain its connection to the conventional Gardner/Godard mechanism and its modulation- and distribution-dependent behavior. The framework further characterizes the effects of pulse shaping, probabilistic shaping, polarization rotation, and polarization-mode dispersion (PMD), revealing CT-response characteristics fundamentally different from second-order TEDs. Numerical evaluations and waveform-level Monte Carlo simulations validate the analysis and demonstrate the framework as a unified statistical basis for SG-TED and related power-based Gardner-type TEDs.

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