Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems

Wang Kai, Ren Zhenge, Zhang Jianxin, Chen Jing
{"title":"Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems","authors":"Wang Kai, Ren Zhenge, Zhang Jianxin, Chen Jing","doi":"10.1109/icicn52636.2021.9673878","DOIUrl":null,"url":null,"abstract":"For shortwave OFDM systems under sky-wave doubly-selective channel conditions, the multi-path delay can be almost constant in several continuous OFDM symbols, while the path gain can be changed significantly along with the change of OFDM symbols. Based on the temporal-correlation properties of such a channel, we propose a recursive compressed sensing (CS) method of sky-wave channels with double selectivity in delayed Doppler domain. The recursive ideas is introduced into CS based double-selective channel estimation and the performance of channel estimation in the current OFDM symbol is improved by using the estimation results from the previous OFDM symbol as prior information. Simulation results show that the proposed recursive CS algorithm can take full advantage of the temporal correlation structure of channel sparsity, which result in the significantly reducing the pilot overhead.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

For shortwave OFDM systems under sky-wave doubly-selective channel conditions, the multi-path delay can be almost constant in several continuous OFDM symbols, while the path gain can be changed significantly along with the change of OFDM symbols. Based on the temporal-correlation properties of such a channel, we propose a recursive compressed sensing (CS) method of sky-wave channels with double selectivity in delayed Doppler domain. The recursive ideas is introduced into CS based double-selective channel estimation and the performance of channel estimation in the current OFDM symbol is improved by using the estimation results from the previous OFDM symbol as prior information. Simulation results show that the proposed recursive CS algorithm can take full advantage of the temporal correlation structure of channel sparsity, which result in the significantly reducing the pilot overhead.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
短波OFDM系统中双选择天波信道的递归压缩感知
对于天波双选择信道条件下的短波OFDM系统,在几个连续的OFDM符号中,多径延迟几乎是恒定的,而路径增益可以随着OFDM符号的变化而发生显著变化。基于天波信道的时间相关特性,提出了一种延迟多普勒域双选择性天波信道的递推压缩感知方法。将递归思想引入到基于CS的双选择信道估计中,利用前一OFDM码元的估计结果作为先验信息,提高了当前OFDM码元下信道估计的性能。仿真结果表明,所提出的递归CS算法能够充分利用信道稀疏性的时间相关结构,显著降低导频开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Single Observation Station Target Tracking Based on UKF Algorithm Deep Reinforcement Learning Based Autonomous Exploration under Uncertainty with Hybrid Network on Graph A Wireless Resource Management and Virtualization Method for Integrated Satellite-Terrestrial Network Smartphone Haptic Applications for Visually Impaired Users Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1