基于GSA-BP神经网络的OFDM系统信道估计算法

doi:10.12068/j.issn.1005-3026.2022.06.002

东北大学学报（自然科学版） ›› 2022, Vol. 43 ›› Issue (6): 769-775.DOI: 10.12068/j.issn.1005-3026.2022.06.002

基于GSA-BP神经网络的OFDM系统信道估计算法

季策，张晓

(东北大学计算机科学与工程学院，辽宁沈阳110169)

修回日期:2021-07-06 接受日期:2021-07-06 发布日期:2022-07-01
通讯作者: 季策
作者简介:季策(1969-)，女，辽宁沈阳人，东北大学副教授，博士.
基金资助:
国家自然科学基金资助项目(61671141，61701100).

Channel Estimation Algorithm of OFDM System Based on GSA-BP Neural Network

JI Ce， ZHANG Xiao

School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China.

Revised:2021-07-06 Accepted:2021-07-06 Published:2022-07-01
Contact: ZHANG Xiao
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对正交频分复用(orthogonal frequency division multiplexing， OFDM)系统中存在的不可忽视的非线性噪声问题，为了能够更好了解信道特性，需要利用信道估计获得信道状态信息，提出一种基于黄金正弦优化BP(golden sine algorithm，GSA-BP)神经网络的OFDM系统信道估计算法，克服了传统 BP神经网络算法容易陷入局部极值的问题，提升了信道估计算法的估计精度.首先通过LS信道估计算法获得信道的初始估计，再将其通过GSA-BP神经网络算法得到信道的精确估计.仿真结果表明，在相同的信道环境下，提出的算法比LS算法具有更好的性能，与MMSE算法性能接近，但不需要信道先验统计特性，易于实现.

关键词: 黄金正弦算法;BP神经网络;OFDM系统;最小二乘算法;信道估计

Abstract: The nonlinear noise problem in orthogonal frequency division multiplexing(OFDM)system cannot be ignored. In order to understand the channel characteristics better， channel state information is needed by channel estimation. A channel estimation algorithm for OFDM system was proposed based on golden sine algorithm optimized BP neural network(GSA-BP). The problem was overcome that the traditional BP neural network algorithm is easy to fall into local extremum， and the estimation accuracy of channel estimation algorithm was improved. Firstly， the initial estimation of the channel was obtained through the LS channel estimation algorithm. Then， the accurate estimation of channel was obtained by using GSA-BP neural network. Simulation results show that the proposed algorithm has better performance than LS algorithm， and is close to MMSE algorithm， but it does not need channel prior statistics and is easy to implement.

Key words: golden sine algorithm; BP neural network; OFDM(orthogonal frequency division multiplexing)system; least square algorithm; channel estimation

中图分类号:

TN911.7

季策，张晓. 基于GSA-BP神经网络的OFDM系统信道估计算法[J]. 东北大学学报（自然科学版）, 2022, 43(6): 769-775.

JI Ce， ZHANG Xiao. Channel Estimation Algorithm of OFDM System Based on GSA-BP Neural Network[J]. Journal of Northeastern University(Natural Science), 2022, 43(6): 769-775.

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基于GSA-BP神经网络的OFDM系统信道估计算法

Channel Estimation Algorithm of OFDM System Based on GSA-BP Neural Network

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