Neural network equalization based on delta-sigma modulation  

作　　者：刘博 任建新 吴翔宇 陈帅东 毛雅亚 赵利 Bo Liu;Jianxin Ren;Xiangyu Wu;Shuaidong Chen;Yaya Mao;Li Zhao(Nanjing University of Information Science&Technology,Nanjng 210044,China;Key Laboratory for Information Science of Electromagnetic Waves(MoE),Fudan University,Shanghai 200433,China)

机构地区：[1]Nanjing University of Information Science&Technology,Nanjng 210044,China [2]Key Laboratory for Information Science of Electromagnetic Waves(MoE),Fudan University,Shanghai 200433,China

出　　处：《Chinese Optics Letters》2024年第4期8-13,共6页中国光学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.62225503,61835005,and 62205151)。

摘　　要：We propose a neural network equalization delta-sigma modulation(DSM)technique.After performing DSM on the multiorder 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)).

关 键 词：multi-order quadrature amplitude modulation W-BAND delta-sigma modulation neural network equalization nonlinear compensation 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN928[自动化与计算机技术—控制科学与工程]