Name
Abstract | ||
|---|---|---|
Spherical arrays have been widely used in direction-of-arrival estimation in recent years, and most algorithms in the spherical harmonics domain typically simultaneously obtain the 2-D angles. In this paper, we first use the structured least squares (SLS) to improve the performance of the decoupled spherical harmonics estimation of the signal parameter via rotational invariance technique (D-SHESPRIT) and propose D-SHESPRIT-SLS. Second, we derive the mean square error of the proposed algorithm and compare estimated results with theoretical results. The simulation results demonstrate the satisfactory performance of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2839260 | IEEE ACCESS |
Keywords | Field | DocType |
Direction-of-arrival (DOA) estimation,decoupling recurrence relation,structured least squares (SLS),mean square error (MSE),spherical array | Least squares,Rotational invariance,Computer science,Mathematical analysis,Spherical harmonics,Mean squared error,Spherical array,Distributed computing | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinghua Huang | 1 | 60 | 15.92 |
| Lin Zhang | 2 | 2 | 0.74 |
| Yong Fang | 3 | 191 | 31.43 |