4.6 Article

Low-complexity absolute-term based nonlinear equalizer with weight sharing for C-band 85-GBaud OOK transmission over a 100-km SSMF

期刊

OPTICS LETTERS
卷 47, 期 6, 页码 1565-1568

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OPTICAL SOC AMER
DOI: 10.1364/OL.454715

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资金

  1. National Key Research and Development Program of China [2018YFB1801701]
  2. National Natural Science Foundation of China [62101602, 62035018]
  3. Hong Kong Government General Research Fund [PolyU 15217620, PolyU 15220120]

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This study proposes a low-complexity absolute-term based nonlinear feed-forward equalizer combined with a decision-feedback equalizer with weight sharing (AT-NLE-WS). Experimental results show that AT-NLE-WS saves real-valued multiplications while maintaining transmission quality. The proposed method offers a promising approach for low-cost optical interconnections with high data rates and long transmission distances.
A low-complexity absolute-term based nonlinear feed-forward equalizer (FFE) combined with a decision-feedback equalizer (DFE) with weight sharing (AT-NLE-WS) is proposed and experimentally performed in a C-band 85-GBaud on-off keying (OOK) transmission system over a 100-km standard single-mode fiber (SSMF). By applying the k-means clustering algorithm to reduce weight redundancy, the required number of real-valued multiplications per symbol (RNRM) of the proposed AT-NLE-WS is only 14 for a bit error ratio (BER) under a KP4-forward error correction (FEC) threshold of 2.4 x 10(-4). Compared with FFE-DFE, polynomial based nonlinear FFE-DFE (P-NLE), and AT-NLE, the proposed AT-NLE-WS saves >93% real-valued multiplications under the KP4-FEC threshold. In addition, compared with FFE-DFE, the proposed AT-NLE-WS can simultaneously achieve an approximately 2-dB improvement of receiver sensitivity and reduce the complexity by >80 degrees/c. All experimental results show that AT-NLE-WS is a very attractive approach for practical implementation of low-cost optical interconnections with a data rate beyond 50 Gb/s and transmission distance up to 100 km. (C) 2022 Optica Publishing Group

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