Image and Signal Processing Methods

New direction of arrival estimation of coherent signals based on reconstructing matrix under unknown mutual coupling

[+] Author Affiliations
Rui Guo, Weixing Li, Yue Zhang, Zengping Chen

National University of Defense Technology, Science and Technology on Automatic Target Recognition Laboratory, No. 109 Deya Road, Changsha 410073, China

J. Appl. Remote Sens. 10(1), 015013 (Feb 15, 2016). doi:10.1117/1.JRS.10.015013
History: Received October 30, 2015; Accepted January 22, 2016
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Abstract.  A direction of arrival (DOA) estimation algorithm for coherent signals in the presence of unknown mutual coupling is proposed. A group of auxiliary sensors in a uniform linear array are applied to eliminate the effects on the orthogonality of subspaces brought by mutual coupling. Then, a Toeplitz matrix, whose rank is independent of the coherency between impinging signals, is reconstructed to eliminate the rank loss of the spatial covariance matrix. Therefore, the signal and noise subspaces can be estimated properly. This method can estimate the DOAs of coherent signals under unknown mutual coupling accurately without any iteration and calibration sources. It has a low computational burden and high accuracy. Simulation results demonstrate the effectiveness of the algorithm.

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Citation

Rui Guo ; Weixing Li ; Yue Zhang and Zengping Chen
"New direction of arrival estimation of coherent signals based on reconstructing matrix under unknown mutual coupling", J. Appl. Remote Sens. 10(1), 015013 (Feb 15, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.015013


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