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基于BP神经网络的OFDM系统信道估计
引用本文:纪勤文,朱春华.基于BP神经网络的OFDM系统信道估计[J].电讯技术,2021,61(7):793-799.
作者姓名:纪勤文  朱春华
作者单位:粮食信息处理与控制教育部重点实验室,郑州450001;河南工业大学 信息科学与工程学院,郑州450001;河南省粮食光电探测和控制重点实验室,郑州450001
基金项目:国家自然科学基金资助项目(61871176);河南省高等学校重点科研项目应用研究计划(19A510011);河南工业大学科学研究基金(省属高校基本科研业务费专项资金)自然科学领域项目(2018RCJH18);河南工业大学创新基金重点项目(2020ZKCJ02)
摘    要:针对正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统中传统信道估计算法复杂度高或估计精度低的问题,给出一种基于反向传播(Back Propagation,BP)神经网络的信道估计方法.采用Simulink仿真工具构建OFDM信号采集平台,建立了基于BP神...

关 键 词:OFDM系统  信道估计  BP神经网络

Channel estimation of OFDM systems based on BP neural network
JI Qinwen,ZHU Chunhua.Channel estimation of OFDM systems based on BP neural network[J].Telecommunication Engineering,2021,61(7):793-799.
Authors:JI Qinwen  ZHU Chunhua
Affiliation:1.Key Laboratory of Grain Information Processing and Control,Zhengzhou 450001,China;2.School of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;3.Henan Key Laboratory of Grain Photoelectric Detection and Control,Henan University of Technology,Zhengzhou 450001,China
Abstract:In order to improve the high complexity or low estimation accuracy of traditional channel estimation algorithms in orthogonal frequency division multiplexing(OFDM) systems,a channel estimation method based on back propagation(BP) neural network is proposed.The OFDM signal acquisition platform is built by Simulink,and channel estimation model based on BP neural network for the OFDM system is established.Then the influence of different network parameters and pilot number on channel estimation performance is analyzed under the main evaluation indexes of mean square error(MSE) and bit error rate(BER).The simulation results show that,compared with the traditional channel estimation algorithm,the channel estimation method based on BP neural network can not only provide better system performance,but also reduce number of pilots and improve spectral utilization.
Keywords:OFDM system  channel estimation  BP neural network
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