Structured Compressed Sensing for Channel Estimation under High-Speed Mobile Environment

被引：0
|
作者：
Yang, Xiao-ping [1 ]
Zhou, Wen-qin [1 ]
机构：
[1] TianShui Normal Univ, Sch Elect Informat & Elect Engn, Tianshui, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS AND ELECTRONIC ENGINEERING (CMEE 2016) | 2016年
关键词：
Channel estimation; OFDM; Time-varying channels; Temporal correlations; OMP; DOUBLY SELECTIVE CHANNELS; RAYLEIGH FADING CHANNELS; OFDM SYSTEMS; INTERFERENCE;
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 the fourth generation wireless communication systems, channel estimation technology is very important for orthogonal frequency division multiplexing (OFDM). However, the existing schemes hardly meet the demand for Quality of Service in high-speed mobile environment. To handle this problem, in this paper, the channel sparsity characteristic and temporal correlations are exploited and displayed by the block-sparse system model. Then, the block-based orthogonal matching pursuit (OMP) algorithm is used to obtain the channel state information. Simulation results illustrate the performance of our proposed algorithm superiority.
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页数：8
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