电子学报2017，Vol.45Issue(12)：2848-2854,7.DOI:10.3969/j.issn.0372-2112.2017.12.004
一种基于改进ROMP的MIMO-OFDM信道估计方法
A Channel Estimation Method Based on Improved Regularized Orthogonal Matching Pursuit for MIMO-OFDM Systems
摘要
Abstract
The regularized orthogonal matching pursuit (ROMP) has two drawbacks,ie,the sparsity should be known beforehand and once the atom is determined it can not be deleted.According to these two problems,this paper presents an improved ROMP channel estimation method based on compressive sensing by exploiting the sparse structure of channel impulse response.The proposed method combines the advantages of compressive sampling matching pursuit (CoSaMP),sparsity adaptive matching pursuit (SAMP) and variable step size to achieve the reconstruction of sparse signal quickly and accurately.Simulation results demonstrate that compared with the channel estimations respectively based on OMP,ROMP,CoSaMP and SAMP,the proposed method effectively improve the performance of the MIMO-OFDM systems in the normalized mean square error (NMSE) and bit error rate (BER).关键词
多入多出/正交频分复用/压缩感知/贪婪方法/信道估计Key words
multiple input multiple output (MIMO)/orthogonal frequency division multiplexing (OFDM)/compressed sensing/greedy method/channel estimation分类
信息技术与安全科学引用本文复制引用
廖勇,周昕,沈轩帆,洪观..一种基于改进ROMP的MIMO-OFDM信道估计方法[J].电子学报,2017,45(12):2848-2854,7.基金项目
国家自然科学基金(No.61501066) （No.61501066）
重庆市基础与前沿研究计划项目(No.cstc2015jcyjA40003) （No.cstc2015jcyjA40003）
西安电子科技大学综合业务网理论及关键技术国家重点实验室开放基金(No.ISN16-03) （No.ISN16-03）
中央高校基本科研业务费重点基金(No.CDJZR165505) （No.CDJZR165505）
