DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
| Autor: | Yuexian Wang, Matthew Trinkle, Brian W.-H. Ng |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
matrix reconstruction
Array aperture Covariance matrix Computer science coherent signals mutual coupling Direction of arrival DOA estimation computer.software_genre Biochemistry Atomic and Molecular Physics and Optics Article Analytical Chemistry Data mining Electrical and Electronic Engineering Instrumentation Algorithm computer Multipath propagation Smoothing Subspace topology Computer Science::Databases |
| Zdroj: | Sensors (Basel, Switzerland) Sensors; Volume 15; Issue 12; Pages: 30856-30869 Sensors Volume 15 Issue 12 Pages 30856-30869 |
| ISSN: | 1424-8220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|