基于dnn的亚太赫兹通信相位噪声补偿

2020 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2020-10-21 DOI:10.1109/ICTC49870.2020.9289411

Hyeong-Sook Park, E. Choi, Youngseog Song, Song Noh, Kyung-Hee Seo

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引用次数: 3

摘要

提出了一种亚太赫兹正交频分复用(OFDM)系统中相位噪声补偿的新方法。为了抑制亚太赫兹频段的高PN，提出了一种基于深度神经网络(DNN)的PN补偿框架。利用PN损伤下的信号和接收端的信道估计，提出的深度神经网络框架对每个数据子载波做出艰难的决策。数值结果表明了该框架的有效性。

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DNN-based Phase Noise Compensation for Sub-THz Communications

In this paper, a new method is presented for phase noise (PN) compensation in sub-TeraHertz (THz) orthogonal frequency division multiplexing (OFDM) systems. To suppress the higher PN encountered at the sub-THz spectrum bands, a deep neural network (DNN)-based PN compensation framework is proposed. Exploiting the signal under PN impairment and the channel estimate at the receiver, the proposed DNN framework makes hard decisions with respect to each data subcarrier. Numerical results show the effectiveness of the proposed framework.

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来源期刊

2020 International Conference on Information and Communication Technology Convergence (ICTC)

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