现代电子技术2018，Vol.41Issue(1)：9-12,16,5.DOI:10.16652/j.issn.1004-373x.2018.01.003
基于匹配追踪算法阈值改进的MIMO-OFDM信道估计研究
Research on MIMO-OFDM channel estimation based on threshold improvement of matching pursuit algorithm
摘要
Abstract
The study on channel estimation of MIMO-OFDM system has gotten a certain achievement at home and abroad, in which it is particularly important for channel estimation to use the CoSaMP algorithm to support candidate set selection. The CoSaMP algorithm is adopted for estimation of the MIMO-OFDM channel. And on this basis,the atomic weak selection criteria is introduced to optimize the candidate set further,which can improve the computing speed while making the improved CoSaMP algorithm realize self-adaptation. The experimental results show that the improved CoSaMP algorithm can reduce the complexity of signal reconstruction while the threshold is selected and added into the candidate set of the algorithm and improve the computing speed,and its root-mean-square error is better than that of the CoSaMP algorithm and OMP algorithm.关键词
信道估计/压缩感知/MIMO-OFDM/原子弱选择/CoSaMP算法/OMP算法Key words
channel estimation/compressed sensing/MIMO-OFDM/atomic weak selection/CoSaMP algorithm/OMP algorithm分类
信息技术与安全科学引用本文复制引用
吴君钦,李宁,王加莉..基于匹配追踪算法阈值改进的MIMO-OFDM信道估计研究[J].现代电子技术,2018,41(1):9-12,16,5.基金项目
基于压缩感知的MCSAR三维高分辨率快速成像研究(61501210) （61501210）
电池友好的无线体域网高能效MAC协议研究(GJJ14428)Project Supported by Research on MCSAR 3D High Resolution Fast Imaging Based on Compressive Sensing(61501210),Research on Energy Efficient MAC Protocol for Battery Friendly Wireless Body Area Network(GJJ14428). （GJJ14428）
