Name
Abstract | ||
|---|---|---|
A new two-dimensional direction-of-arrival estimation algorithm called 2D- l 1-singular value decomposition (SVD) and its improved version called enhanced-2D- l 1-SVD are proposed in this paper. They are designed for rectangular arrays and can also be extended to rectangular arrays with faulty or missing elements. The key idea is to represent direction-of-arrival with two decoupled angles and then successively estimate them. Therefore, two-dimensional direction finding can be achieved by applying several times of one-dimensional sparse reconstruction-based direction finding methods instead of directly extending them to two-dimensional situation. Performance analysis and simulation results reveal that the proposed method has a much lower computational complexity and a similar statistical performance compared with the well-known l 1-SVD algorithm, which has several advantages over conventional direction finding techniques due to the application of sparse signal reconstruction. Moreover, 2D- l 1-SVD has better robustness to the assumed number of sources over l 1-SVD. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s13634-015-0198-x | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Antenna arrays, Direction-of-arrival estimation, Sparse signal reconstruction | Direction finding,Singular value decomposition,Computer vision,Computer science,Direction of arrival,Sparse approximation,Algorithm,Theoretical computer science,Robustness (computer science),Artificial intelligence,Signal reconstruction,Computational complexity theory | Journal |
Volume | Issue | ISSN |
2015 | 1 | 1687-6180 |
Citations | PageRank | References |
3 | 0.41 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Wang | 1 | 16 | 5.17 |
| X. W. Cui | 2 | 219 | 26.61 |
| Mingquan Lu | 3 | 122 | 30.09 |
| Zhenming Feng | 4 | 83 | 9.77 |