Frequency-Domain Joint Monitoring of Differential Group Delay and Dependent Loss of Optical Singleand Few-Mode Fiber Channels Based on CAZAC Sequences
Linsheng Fan, Gao Ye, Zhongliang Sun, Lingguo Cao, Hao Shi, Jianwei Tang, Shunfeng Wang, Hengying Xu, Chenglin Bai, Jian Zhao, Weisheng Hu, and Jinlong Wei

TL;DR
This paper introduces a frequency-domain joint monitoring method using CAZAC sequences for optical fiber channels, enabling real-time, cost-effective detection of complex impairments like DGD and DL in multi-dimensional systems.
Contribution
It presents a novel in-service, frequency-domain monitoring scheme based on CAZAC sequences that accurately estimates DGD and DL in multidimensional optical channels without extra hardware.
Findings
Achieves polarization-dependent loss error below 0.3 dB
Attains polarization-mode dispersion accuracy of 0.3 ps
Maintains mode-dependent loss and differential mode-group delay errors around 0.3 dB and 0.3 ps
Abstract
This paper addresses the challenges of monitoring optical-fiber channels subject to complex, multidimensional impairments-such as dynamic interference across polarization or modal dimensions-where conventional methods suffer from high equipment costs, poor impairment discrimination and limited scalability. We propose an in-service, frequency-domain joint monitoring scheme based on constant-amplitude zero-autocorrelation (CAZAC) sequences. Exploiting their flat spectra and ideal autocorrelation, we model the channel as a multi-input multi-output (MIMO) system and estimate its frequency response to extract both differential group delay (DGD) and dimension-dependent loss (DL) regardless of dimensionality. Experimental validation in polarization-division-multiplexing (PDM) and mode-division-multiplexing (MDM) scenarios demonstrates robust performance: in a 2x2 PDM setup,…
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