物联网学报2025，Vol.9Issue(4)：113-124,12.DOI:10.11959/j.issn.2096-3750.2025.00502
基于轻量并行去噪网络的OTFS信道估计算法
Lightweight parallel denoising network-based OTFS channel estimation algorithm
摘要
Abstract
Orthogonal time frequency space(OTFS)as one of the key candidate technologies for 6G,is recognized for its ability to effectively combat the effects of doubly-selective fading channels.However,channel estimation in OTFS sys-tems has remained a major focus and challenge in academic research.In recent years,deep learning-based OTFS channel estimation schemes were proposed,which utilized artificial intelligence techniques to rapidly capture channel variations.Nevertheless,these existing algorithms were generally characterized by large network scales,making it difficult to meet the lightweight requirements of mobile terminals.To address this issue,an OTFS channel estimation algorithm based on a lightweight parallel denoising network was proposed with the aim of improving computational efficiency and reducing de-vice power consumption.By integrating image denoising and data-driven concepts,the algorithm retained the strong gen-eralization capability of deep learning methods while reducing the computational cost on mobile devices through opti-mized network architecture and reduced pilot power,thereby providing a new solution for lightweight terminal communi-cation in high-mobility scenarios.The parameter quantity of the proposed algorithm was only 15%of that of the existing denoising convolutional neural network(DnCNN),significantly reducing both the network parameter scale and computa-tional complexity.Simulation results demonstrated that,thanks to its unique parallel structure design,the proposed algo-rithm compensated for the estimation performance loss caused by lightweight design.Under a five-path fast time-varying channel,a performance gain of 4 dB was achieved compared to DnCNN.关键词
OTFS/信道估计/深度学习/去噪网络/轻量化Key words
OTFS/channel estimation/deep learning/denoising network/lightweight分类
信息技术与安全科学引用本文复制引用
熊俊,韩雪晴,刘潇然,张晖,赵海涛,魏急波..基于轻量并行去噪网络的OTFS信道估计算法[J].物联网学报,2025,9(4):113-124,12.基金项目
国家自然科学基金资助项目(No.U2441226,No.62371462) （No.U2441226,No.62371462）
湖南省自然科学基金资助项目(No.2025JJ20067) （No.2025JJ20067）
湖南省科技创新项目(No.2022RC1093)The National Natural Science Foundation of China(No.U2441226,No.62371462),Natural Science Foundation of Hunan Province(No.2025JJ20067),The Science and Technology Innovation Program of Hunan Province(No.2022RC1093) （No.2022RC1093）
