Name
Abstract | ||
|---|---|---|
In this letter, a novel relocating enhanced nested array (RENA) configuration is proposed. Compared with most existing sparse array configurations, the proposed RENA has a hole-free difference co-array, simple closed expressions for the array geometry and degrees of freedom (DOFs), and also achieves more consecutive DOFs. Based on the above good properties of the proposed RENA, we improve a root multi-signal classification algorithm based on pseudo-noise subspace (PNS-root-MUSIC) for direction of arrival (DOA) estimation. The PNS-root-MUSIC algorithm has lower algorithm complexity due to no exhaustive spectral peak search, and takes full advantage of the larger hole-free co-array of the proposed RENA, yielding a higher accuracy of DOA estimation. The results of theoretical analysis and simulations demonstrate the superior performance of the proposed RENA. The simulation results show that the improved PNS-root-MUSIC algorithm has better DOA estimation performance compared with that of existing algorithms. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LSP.2022.3199149 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
DOA estimation, degrees of freedom, hole-free co-array, pseudo-noise subspace, relocating enhanced nested array | Journal | 29 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lang Zhou | 1 | 0 | 0.34 |
| Kun Ye | 2 | 0 | 0.34 |
| Jie Qi | 3 | 0 | 2.03 |
| sun haixin | 4 | 14 | 11.33 |