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面向OFDM系统信道估计的空间信息增强小波域网络

石保顺 李江伟

燕山大学学报2026,Vol.50Issue(3):241-249,9.
燕山大学学报2026,Vol.50Issue(3):241-249,9.DOI:10.3969/j.issn.1007-791X.2026.03.006

面向OFDM系统信道估计的空间信息增强小波域网络

Spatial information enhanced wavelet domain network for channel estimation of OFDM systems

石保顺 1李江伟1

作者信息

  • 1. 燕山大学 信息科学与工程学院,河北 秦皇岛 066004||燕山大学 河北省信息传输与信号处理重点实验室,河北 秦皇岛 066004
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摘要

Abstract

In the orthogonal frequency division multiplexing system of the 5G wireless network,channel estimation plays an important role in realizing accurate signal recovery and reliable communication.The traditional channel estimation method has defects of slow speed and low accuracy.Although the technique based on deep learning can solve this problem,the existing method based on deep neural networks still has the following shortcomings:the traditional convolutional neural network method has low accuracy due to its limited representation capability;although the channel estimation method based on Transformer can achieve high reconstruction quality,it has some problems such as high computational complexity,long time consumption and large number of parameters.To seek a balance among computational complexity,the number of parameters,and estimation performance,a channel estimation method based on wavelet decomposition and dual-stream network is proposed in this paper,aiming to estimate high-resolution channel responses from low-resolution channel responses.To enhance the representation ability of wavelet domain network,a spatial feature extraction module is introduced to assist the estimation of wavelet coefficients with the help of spatial information.In order to achieve the fusion of spatial information and wavelet domain network features,a two-branch network is designed.The obtained wavelet coefficients and spatial features are input into the dual-stream network in four groups for fusion.Simulation results show that the proposed network has low computational complexity and parameters,and can achieve efficient and accurate channel estimation.

关键词

深度学习/信道估计/小波分解/双流网络/正交频分复用

Key words

deep learning/channel estimation/wavelet decomposition/dual stream network/orthogonal frequency division multiplexing

分类

信息技术与安全科学

引用本文复制引用

石保顺,李江伟..面向OFDM系统信道估计的空间信息增强小波域网络[J].燕山大学学报,2026,50(3):241-249,9.

基金项目

国家自然科学基金资助项目(62371414) (62371414)

河北省自然科学基金资助项目(F2023203043) (F2023203043)

燕山大学学报

1007-791X

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