电子科技大学学报Issue(1)：58-62,5.DOI:10.3969/j.issn.1001-0548.2013.01.014
基于压缩感知的MIMO-OFDM系统稀疏信道估计方法
Compressive Sensing-Based Sparse Channel Estimation Method for MIMO-OFDM Systems
摘要
Abstract
Channel equalization and coherent detection require accurate channel state information (CSI) at the receiver for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The conventional linear recovery methods, such as least squares (LS) and minimum mean square error (MMSE), are widely adapted in channel estimation under the assumption of rich multipath. However, numerous physical measurements have verified that the practical multipath channels tend to exhibit sparse structures. In this paper, exploiting the channel sparsity, we propose a compressive sensing-based CoSaMP recovery algorithm for MIMO-OFDM sparse channel estimation. Simulations show that the compressive sensing estimation method can obtain the accurate CSI with fewer pilots than conventional linear estimation for MIMO-OFDM systems at the cost of less computational complexity. The proposed method can greatly improve the spectrum efficiency for MIMO-OFDM systems.关键词
压缩感知/MIMO-OFDM/稀疏信道估计/稀疏多径信道Key words
compressive sensing/MIMO-OFDM/sparse channel estimation/sparse multipath channel分类
信息技术与安全科学引用本文复制引用
王妮娜,桂冠,苏泳涛,石晶林,张平..基于压缩感知的MIMO-OFDM系统稀疏信道估计方法[J].电子科技大学学报,2013,(1):58-62,5.基金项目
国家科技重大专项(2011ZX03003-003-02) （2011ZX03003-003-02）
国家科技重大专项(2012ZX03001007-004) （2012ZX03001007-004）
北京市自然基金(4110001) （4110001）
