Neural network equalization based on delta-sigma modulation

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外文摘要：We propose a neural network equalization delta-sigma modulation[DSM]technique.After performing DSM on the multi-order quadrature amplitude modulation[QAM]orthogonal frequency division multiplexing[OFDM]signal at the transmitting end,neural network equalizer technology is used in the digital signal processing at receiving end.Applying this technology to a 4.6 km W-band millimeter wave system,it is possible to achieve a 1 Gbaud 8192-QAM OFDM signal transmission.The data rate reached 23.4 Gbit/s with the bit error rate at 3.8 × 10-2,lower than soft-decision forward-error correction threshold[4 × 10-2].

外文关键词：

multi-order quadrature amplitude modulationW-banddelta-sigma modulationneural network equalizationnonlinear compensation

作者：

刘博、任建新、吴翔宇、陈帅东、毛雅亚、赵利

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作者单位：

Nanjing University of Information Science&Technology,Nanjing 210044,China

Key Laboratory for Information Science of Electromagnetic Waves(MoE),Fudan University,Shanghai 200433 China

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

项目编号：

622255036183500562205151

出版年：

2024

DOI：

10.3788/COL202422.040601

中国光学快报(英文版)

中国光学学会中国科学院上海光学精密机械研究所

中国光学快报(英文版)

CSTPCD

影响因子：1.305

ISSN：1671-7694

年,卷(期)：2024.22(4)