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Sensors 2016, 16(2), 248; doi:10.3390/s16020248

Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays

1
Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2
Shanghai Key Laboratory of Intelligent Sensing and Recognition, Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 29 November 2015 / Revised: 11 February 2016 / Accepted: 12 February 2016 / Published: 19 February 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [310 KB, uploaded 19 February 2016]   |  

Abstract

We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing nor vector-field smoothing to decorrelate the signal coherency. We also establish that the angle-polarization parameters of K coherent signals can be uniquely determined by PARAFAC analysis, as long as the number of tripoles L ≥ 2K − 1 . In addition, the proposed algorithm can offer enhanced angle and polarization estimation accuracy by extending the interspacing of the tripoles beyond a half wavelength. View Full-Text
Keywords: parallel factor; tripole sensor; angle estimation; polarization estimation parallel factor; tripole sensor; angle estimation; polarization estimation
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, K.; He, J.; Shu, T.; Liu, Z. Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays. Sensors 2016, 16, 248.

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