Name
Title | ||
|---|---|---|
DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture. |
Abstract | ||
|---|---|---|
Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates under array manifold perturbation and rank deficiency of the covariance matrix due to mutual coupling and multipath propagation, respectively. In this correspondence, the unknown mutual coupling can be circumvented by the proposed method without any passive or active calibration process, and the DOA of the coherent signals can be accurately estimated accordingly. With a newly constructed matrix, the deficient rank can be restored, and the effective array aperture can be extended compared with conventional spatial smoothing. The proposed method achieves a good robustness and DOA estimation accuracy with unknown mutual coupling. The simulation results demonstrate the validity and efficiency of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/s151229832 | SENSORS |
Keywords | Field | DocType |
DOA estimation,coherent signals,mutual coupling,matrix reconstruction | Multipath propagation,Data mining,Coupling,Subspace topology,Matrix (mathematics),Direction of arrival,Algorithm,Robustness (computer science),Electronic engineering,Smoothing,Covariance matrix,Engineering | Journal |
Volume | Issue | ISSN |
15 | 12.0 | 1424-8220 |
Citations | PageRank | References |
6 | 0.52 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuexian Wang | 1 | 15 | 7.46 |
| Matthew Trinkle | 2 | 44 | 5.71 |
| Brian W-H Ng | 3 | 6 | 0.52 |