计算机技术与发展Issue(10)：220-223,4.DOI:10.3969/j.issn.1673-629X.2013.10.055
基于二维压缩感知的双选信道估计
Doubly Selective Channel Estimation Based on Two Dimension Compressed Sensing
摘要
Abstract
High data rates and high mobility introduce time and frequency selectivity in wideband wireless communication. Need to esti-mate the channel state information so that the data through fading channel can be received correctly. Exploiting the sparsity and correlation of doubly selective wireless channel in both delay domain and Doppler domain,study the doubly selective channel estimation based on 2 Dimension Compressive Sensing (2D-CS). In order to overcome the instability of the channel estimation caused by the multipath delay spread and Doppler shift,the channel estimation based on 2 Dimension ROMP (2D-ROMP) algorithm is designed in this paper. Theoret-ical analysis and simulation shows that the 2D-ROMP has better performance but with fewer pilots than conventional 2 dimension delay domain and Doppler domain estimation,furthermore,2 dimension channel estimation has better estimation performance than 1 dimension channel estimation.关键词
信道估计/压缩感知/双选信道/二维正则正交匹配追踪Key words
channel estimation/compressive sensing/doubly selective channel/2 dimension regularized orthogonal matching pursuit分类
信息技术与安全科学引用本文复制引用
彭钰,侯晓赟..基于二维压缩感知的双选信道估计[J].计算机技术与发展,2013,(10):220-223,4.基金项目
国家科技重大专项(2009ZX03003-006) （2009ZX03003-006）
东南大学移动通信国家重点实验室开放研究基金资助课题(2010D02) （2010D02）
