华东理工大学学报（自然科学版）2018，Vol.44Issue(1)：119-123,5.DOI:10.14135/j.cnki.1006-3080.20170121001
一种新的基于分布式压缩感知的时变稀疏信道估计
A Novel Time-Varying and Sparse Channel Estimation Based on Distributed Compress Sensing
摘要
Abstract
This paper studies the problem of time-varying and sparse channel estimation in the orthogonal frequency division multiplexing (OFDM) system.The complex exponential-basis expansion model (CE-BEM) is used to model the time-varying channel's response.The coefficient in CE-BEM is sparse due to the channel's sparsity.Thus,the problem of estimating the sparse channel response turns into solving the coefficient of sparse CE-BEM.For the scene with unknown sparsity,this paper proposes a sparsity adaptive distributed compressive sensing algorithm.Furthermore,a pilot pattern design method is given to deal with the effect of pilot placement on channel estimation.Finally,the simulation results show that the proposed algorithm can effectively improve estimating performance.关键词
信道估计/CE-BEM/分布式压缩感知/导频放置/稀疏度自适应Key words
channel estimation/CE-BEM/distributed compressive sensing/pilot design/sparsity adaptive分类
信息技术与安全科学引用本文复制引用
邵耀东,袁伟娜,王嘉璇..一种新的基于分布式压缩感知的时变稀疏信道估计[J].华东理工大学学报（自然科学版）,2018,44(1):119-123,5.基金项目
国家自然科学基金(61501187) （61501187）
