Neural network equalization based on delta-sigma modulation

被引：0

作者：

刘博 ^{[1
]}

任建新 ^{[1
]}

吴翔宇 ^{[1
]}

陈帅东 ^{[1
]}

毛雅亚 ^{[1
]}

赵利 ^{[2
]}

机构：

[1] Nanjing University of Information Science & Technology

[2] Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University

来源：

Chinese Optics Letters | 2024年 / 22卷 / 04期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算]; TN928 [波导通信、毫米波通信];

学科分类号：

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).

引用

页码：14 / 19

页数：6

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