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Proceedings Paper

Volterra equalizer with MLSD for 100 Gb/s PAM4 over up to 160m OM3-MMF using 20GHz class 850nm VCSEL
Author(s): Zhiquan Wan; Zhenming Yu; Liang Shu; Chenyu Liang; Wenjia Zhang; Tian Zhang; Jianqiang Li; Kun Xu
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Paper Abstract

A digital signal processing (DSP) scheme based on Volterra equalizer (VE) combined with adaptive noise-whitening post-filter and maximum likelihood sequence detection (MLSD) is proposed to mitigate nonlinear impairments in vertical-cavity surface-emitting lasers (VCSEL) multimode fiber (MMF) system. Successfully transmission of 108 Gb/s, 100 Gb/s and 60 Gb/s 4-ary pulse amplitude modulation (PAM4) signal over 5 m, 160 m and 460 m OM3-MMF is demonstrated below the 7% overhead hard-decision forward error correction (HD-FEC) bit error rate (BER) threshold by using a 20-GHz class VCSEL at 850 nm. Linear pre-equalization is applied to mitigate severe bandwidth limitation of the system. Our experimental results show that the scheme can well mitigate modulation nonlinearity induced by VCSEL and fiber nonlinearity induced by MMF. The BER decreases about two order of magnitude compared to linear equalizer after 100 m OM3-MMF transmission for 100 Gb/s PAM4 signal.

Paper Details

Date Published: 14 February 2019
PDF: 6 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110480N (14 February 2019); doi: 10.1117/12.2518350
Show Author Affiliations
Zhiquan Wan, Beijing Univ. of Posts and Telecommunications (China)
Zhenming Yu, Beijing Univ. of Posts and Telecommunications (China)
Liang Shu, Beijing Univ. of Posts and Telecommunications (China)
Chenyu Liang, Shanghai Jiao Tong Univ. (China)
Wenjia Zhang, Shanghai Jiao Tong Univ. (China)
Tian Zhang, Beijing Univ. of Posts and Telecommunications (China)
Jianqiang Li, Beijing Univ. of Posts and Telecommunications (China)
Kun Xu, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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