Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 41,
  • Issue 15,
  • pp. 4949-4962
  • (2023)

Feed-Forward Frequency Domain Equalizer for Fast SOP Transient Tracking in Coherent Optical Modems

Open Access Open Access

Abstract

We propose a feed-forward frequency domain adaptive linear equalizer that can track fast state-of-polarization (SOP) transients in the fiber. In the proposed method, we rely on the pilot symbols that are inserted into the DSP frame to estimate the channel response and then compensate for it. Unlike the decision-directed least mean squares (DD-LMS) algorithm, the proposed circuit is designed in a feed-forward fashion and avoids the latencies involved in DD-LMS feedback loop in order to achieve the best possible SOP tracking capabilities. The proposed algorithm is shown to be robust against high order differential group delay (DGD) and polarization dependent loss (PDL) and offers a significant tracking improvement compared to DD-LMS.

PDF Article
More Like This
Blind, fast and SOP independent polarization recovery for square dual polarization–MQAM formats and optical coherent receivers

Mathieu Chagnon, Mohamed Osman, Xian Xu, Qunbi Zhuge, and David V. Plant
Opt. Express 20(25) 27847-27865 (2012)

Feed-forward frequency offset estimation for 32-QAM optical coherent detection

Fei Xiao, Jianing Lu, Songnian Fu, Chenhui Xie, Ming Tang, Jinwen Tian, and Deming Liu
Opt. Express 25(8) 8828-8839 (2017)

Window-split structured frequency domain Kalman equalization scheme for large PMD and ultra-fast RSOP in an optical coherent PDM-QPSK system

Zibo Zheng, Nan Cui, Hengying Xu, Xiaoguang Zhang, Wenbo Zhang, Lixia Xi, Yuanyuan Fang, and Liangchuan Li
Opt. Express 26(6) 7211-7226 (2018)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.