DOA Estimation of Time-Modulated Linear Array Based on Sparse Signal Recovery

被引:37
作者
Li, Wen Tao [1 ]
Lei, Ya Jie [1 ]
Shi, Xiao Wei [1 ]
机构
[1] Xidian Univ, Dept Elect Engn, Sci & Technol Antenna & Microwave Lab, Xian 710071, Peoples R China
来源
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2017年 / 16卷
基金
美国国家科学基金会;
关键词
Compressive sensing (CS); direction of arrival angle (DOA) estimation; time-modulated array; weighted l1-norm; OF-ARRIVAL ESTIMATION;
D O I
10.1109/LAWP.2017.2717931
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
Under the circumstances of small number of snapshots, low signal-to-noise ratio, and closely spaced sources, especially with correlated signals, the existing direction of arrival angle (DOA) estimation methods for time-modulated linear arrays (TMLAs) generally does not yield satisfactory results. To dealwith those problems, a new weighted l1-norm DOA estimation algorithm is proposed for the TMLA in this letter. The proposed algorithm constructs the weighted matrix by making full use of the orthogonality of the signal subspace and the noise subspace to penalize the l1-norm constrained model. Accordingly, the reconstructed coefficient vector with better sparsity could be achieved, and the false peaks could be effectively suppressed. Simulation results have been provided to validate the effectiveness of the proposed method.
引用
收藏
页码:2336 / 2340
页数:5
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