DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture

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 ci...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 15; no. 12; pp. 30856 - 30869
Main Authors: Wang, Yuexian, Trinkle, Matthew, Ng, Brian W-H
Format: Journal Article
Language:English
Published: Switzerland MDPI 08-12-2015
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Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s151229832