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Sensors 2014, 14(11), 20064-20077; doi:10.3390/s141120064

An Efficient Algorithm for Direction Finding against Unknown Mutual Coupling

School of Information and Electronics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
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Received: 27 August 2014 / Revised: 6 October 2014 / Accepted: 20 October 2014 / Published: 24 October 2014
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupling. The preliminary direction of arrival (DOA) is estimated using the whole array for high resolution. Further refinement can then be conducted by estimating the angularly dependent coefficients (ADCs) with the subspace theory. The mutual coupling coefficients are finally determined by solving the least squares problem with all of the ADCs utilized without discarding any. Simulation results show that the proposed method can achieve better performance at a low signal-to-noise ratio (SNR) with a small-sized array and is more robust, compared with the similar processes employing the initial DOA estimation and further improvement iteratively. View Full-Text
Keywords: direction of arrival; mutual coupling; subspace; refinement; iteratively direction of arrival; mutual coupling; subspace; refinement; iteratively
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, W.; Ren, S.; Ding, Y.; Wang, H. An Efficient Algorithm for Direction Finding against Unknown Mutual Coupling. Sensors 2014, 14, 20064-20077.

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