Name
Abstract | ||
|---|---|---|
In this paper, a novel sparsity-aware direction of arrival (DOA) estimation scheme for a noncircular source is proposed in multiple-input multiple-output (MIMO) radar. In the proposed method, the reduced-dimensional transformation technique is adopted to eliminate the redundant elements. Then, exploiting the noncircularity of signals, a joint sparsity-aware scheme based on the reweighted l(1) norm penalty is formulated for DOA estimation, in which the diagonal elements of the weight matrix are the coefficients of the noncircular MUSIC-like (NC MUSIC-like) spectrum. Compared to the existing l(1) norm penalty-based methods, the proposed scheme provides higher angular resolution and better DOA estimation performance. Results from numerical experiments are used to show the effectiveness of our proposed method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16040539 | SENSORS |
Keywords | Field | DocType |
MIMO radar,DOA estimation,noncircular signal,sparse representation,reweighted l(1) norm penalty | Radar,Diagonal,Matrix (mathematics),Direction of arrival,Sparse approximation,MIMO,Electronic engineering,Angular resolution,Engineering,Mimo radar | Journal |
Volume | Issue | ISSN |
16 | 4.0 | 1424-8220 |
Citations | PageRank | References |
6 | 0.48 | 6 |
Authors | ||
5 | ||