An Improved ROMP Sparse Channel Estimation Algorithm in OFDM System

被引：0
|
作者：
Mei, Lidan [1 ]
Gao, Fei [1 ]
Pan, Hongyun [1 ]
Xue, Yanming [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China
来源：
2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) | 2015年
关键词：
Compressive sensing; OFDM; Sparse channel estimation; ROMP algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In order to improve the accuracy of channel estimation in OFDM system, an improved algorithm Regularized Orthogonal Matching Pursuit (ROMP) Algorithm is proposed. The algorithm avoids choosing the wrong group and makes the group of atoms' energy more concentrated which is selected by modified regularized principle, then adds the secondary screening of estimation results, achieves an accurate reconstruction of original signal. Simulation results show that, in OFDM system, compared with ROMP and Orthogonal Matching Pursuit (OMP) algorithms, the proposed algorithm can get better performance in Mean Squared Error (MSE) and Symbol Error Rate (SER), improve the accuracy of sparse channel estimation.
引用
收藏
页码：198 / 201
页数：4
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