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Sensors 2016, 16(12), 2109; doi:10.3390/s16122109

DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm

Department of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 28 September 2016 / Revised: 2 December 2016 / Accepted: 6 December 2016 / Published: 13 December 2016
(This article belongs to the Section Physical Sensors)
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Abstract

In array signal processing systems, the direction of arrival (DOA) and polarization of signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since the ESPRIT algorithm relies on the rotational invariant structure of the received data, it cannot be applied to electromagnetic vector sensor arrays (EVSAs) featuring uniform circular patterns. To overcome this limitation, a fourth-order cumulant-based ESPRIT algorithm is proposed in this paper, for joint estimation of DOA and polarization based on a uniform circular EVSA. The proposed algorithm utilizes the fourth-order cumulant to obtain a virtual extended array of a uniform circular EVSA, from which the pairs of rotation invariant sub-arrays are obtained. The ESPRIT algorithm and parameter pair matching are then utilized to estimate the DOA and polarization of the incident signals. The closed-form parameter estimation algorithm can effectively reduce the computational complexity of the joint estimation, which has been demonstrated by numerical simulations. View Full-Text
Keywords: electromagnetic vector sensor array (EVSA); DOA and polarization estimation; ESPRIT algorithm; fourth-order cumulant; uniform circular array; rotation invariant electromagnetic vector sensor array (EVSA); DOA and polarization estimation; ESPRIT algorithm; fourth-order cumulant; uniform circular array; rotation invariant
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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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MDPI and ACS Style

Wu, N.; Qu, Z.; Si, W.; Jiao, S. DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm. Sensors 2016, 16, 2109.

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