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Sensors 2017, 17(6), 1405; doi:10.3390/s17061405

A Sequential Optimization Calibration Algorithm for Near-Field Source Localization

1
Kexin College Hebei University of Engineering, Handan 056038, China
2
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
*
Author to whom correspondence should be addressed.
Received: 9 March 2017 / Revised: 12 June 2017 / Accepted: 13 June 2017 / Published: 15 June 2017
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Abstract

This paper considers the near-field source location problem for a nonuniform linear array (non-ULA) in the presence of sensor gain and phase errors. A sequential optimization calibration method is proposed to simultaneously estimate the gain and phase errors as well as the locations of calibration sources involving the ranges and the azimuths by exploiting some imprecise a-priori knowledge of calibration sources. At each iteration of the proposed method, the source locations, and the gain and phase errors are obtained iteratively. Finally, at the analysis stage, we evaluate the effectiveness of the proposed technique using some numerical simulations. Results show that the proposed algorithm shares the capability to jointly estimate the source locations and the errors. View Full-Text
Keywords: near-field source location problem; sensor gain and phase errors; a sequential optimization calibration method near-field source location problem; sensor gain and phase errors; a sequential optimization calibration method
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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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Li, J.; Yu, X.; Cui, G. A Sequential Optimization Calibration Algorithm for Near-Field Source Localization. Sensors 2017, 17, 1405.

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