Deep Learning Based Signal Detector for OFDM Systems  

作　　者：Guangliang Pan Wei Wang Minglei Li 

机构地区：[1]Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology,College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China [2]College of Control Science and Engineering,China University of Petroleum(East China),Qingdao 266580,China

出　　处：《China Communications》2023年第12期66-77,共12页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China No.62001220;the Natural Science Foundation of Jiangsu Province BK20200440;the Fundamental Research Funds for the Central Universities No.1004-YAH20016,No.NT2020009。

摘　　要：In this paper,we propose a novel deep learning(DL)-based receiver design for orthogonal frequency division multiplexing(OFDM)systems.The entire process of channel estimation,equalization,and signal detection is replaced by a neural network(NN),and hence,the detector is called a NN detector(N^(2)D).First,an OFDM signal model is established.We analyze both temporal and spectral characteristics of OFDM signals,which are the motivation for DL.Then,the generated data based on the simulation of channel statistics is used for offline training of bi-directional long short-term memory(Bi-LSTM)NN.Especially,a discriminator(F)is added to the input of Bi-LSTM NN to look for subcarrier transmission data with optimal channel gain(OCG),which can greatly improve the performance of the detector.Finally,the trained N^(2)D is used for online recovery of OFDM symbols.The performance of the proposed N^(2)D is analyzed theoretically in terms of bit error rate(BER)by Monte Carlo simulation under different parameter scenarios.The simulation results demonstrate that the BER of N^(2)D is obviously lower than other algorithms,especially at high signal-to-noise ratios(SNRs).Meanwhile,the proposed N^(2)D is robust to the fluctuation of parameter values.

关 键 词：channel estimation deep learning OFDM optimal channel gain signal detection 

分 类 号：TN9[电子电信—信息与通信工程]