Compressive Sensing Based Off-Grid DOA Estimation Using OMP Algorithm

被引：5
|
作者：
Ganguly, Saurav [1 ]
Ghosh, Ishita [2 ]
Ranjan, Ratnesh [1 ]
Ghosh, Jayanta [1 ]
Kumar, Puli Kishore [3 ]
Mukhopadhyay, Mainak [4 ]
机构：
[1] Natl Inst Technol, Dept ECE, Patna, Bihar, India
[2] Deloitte India Off US, IoT Serv, Bengaluru, India
[3] Natl Inst Technol, Dept ECE, Tadepalligudem, Andhra Pradesh, India
[4] Birla Inst Technol, Dept ECE, Deoghar Campus, Mesra, India
来源：
2019 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) | 2019年
关键词：
Off-grid DOA estimation; compressive sensing; sparse array; OMP algorithm;
D O I：
10.1109/spin.2019.8711677
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 this paper we present a method of Direction of Arrival (DOA) estimation using a sparse array based on compressive sensing. The sources are assumed to be at off -grid location with respect to the receiver array. NV.: show that the off -grid DOA of the sources can be estimated almost accurately by using the Orthogonal Matching Pursuit (OMP) algorithm for reconstruction from the sparse samples.
引用
收藏
页码：772 / 775
页数：4
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