微型机与应用2016，Vol.35Issue(21)：68-71,4.DOI:10.19358/j.issn.1674-7720.2016.21.021
基于分布式压缩感知的MIMO-OFDM系统信道估计研究
Research on MIMO-OFDM system channel estimation based on distributed compressive sensing
张美娟1
作者信息
- 1. 南京邮电大学 通信与信息工程学院,江苏 南京 210003
- 折叠
摘要
Abstract
A novel method of MIMO-OFDM systems channel estimation based on distributed compressed sensing (DCS) is proposed in joint sparse MIMO systems channel.Distributed compressed sensing(DCS) is regarded as a combination of distributed source coding and compressed sensing(CS).This paper demonstrates the feasibility of the application of distributed compressed sensing theory in MIMO-OFDM systems.Compared the proposed algorithm with the compressive sampling matching pursuit (CoSAMP)algorithm based on compressive sensing theory, simulation results show that channel estimation based on DCS algorithm not only has better performance, but also can achieve lower time complexity.关键词
分布式压缩感知/MIMO-OFDM/信道估计Key words
distributed compressed sensing/MIMO-OFDM/channel estimation分类
电子信息工程引用本文复制引用
张美娟..基于分布式压缩感知的MIMO-OFDM系统信道估计研究[J].微型机与应用,2016,35(21):68-71,4.
