Experimental demonstration of low-complexity trigonometric-memory-polynomial decision-feedback equalizer for nonlinear compensation in IM/DD optical systems

Author:

Liu Xing,Liu Yun,Hu Chengju,Zhao Jian

Abstract

We propose a simple but high-performance trigonometric-memory-polynomial decision-feedback equalizer (TMP-DFE) to cope with the nonlinear distortions in intensity-modulation direct-detection (IM/DD) systems. The proposed method employs sine and cosine operations of received samples, which can be implemented by the efficient CORDIC algorithm using only additions and shifts, to fit odd- and even-order nonlinearities with the effect of different nonlinear orders adjusted by the nonlinear factor. We further propose TMP improved-weighted DFE (TMP-IWDFE) to reduce the error propagation probability of decision feedback. We experimentally evaluate the performance of the proposed schemes in a C-band Erbium-doped-fiber-amplifier-free 56-80Gbit/s four-level pulse-amplitude-modulation (PAM-4) IM/DD system over 30-50 km standard single-mode fiber (SSMF) transmission. The results show that TMP-DFE exhibits better bit error rate performance than Volterra decision-feedback equalizer (V-DFE), diagonally-pruned V-DFE (DP-V-DFE), and diagonally-pruned absolute-term V-DFE (DPAT-V-DFE) while only requiring real multiplications 20.04%, 43.25%, and 74.12% of these conventional schemes. TMP-IWDFE further improves the performance and is better than V-IWDFE, DP-V-IWDFE, and DPAT-V-IWDFE in terms of both performance and complexity. Therefore, the proposed schemes have great potential for high-performance and low-cost IM/DD optical transmission systems.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Optica Publishing Group

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3