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Sensors 2017, 17(12), 2914; doi:10.3390/s17122914

An Efficient Estimator for Moving Target Localization Using Multi-Station Dual-Frequency Radars

School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
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Received: 21 November 2017 / Revised: 10 December 2017 / Accepted: 11 December 2017 / Published: 15 December 2017
(This article belongs to the Section Remote Sensors)
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Abstract

Localization of a moving target in a dual-frequency radars system has now gained considerable attention. The noncoherent localization approach based on a least squares (LS) estimator has been addressed in the literature. Compared with the LS method, a novel localization method based on a two-step weighted least squares estimator is proposed to increase positioning accuracy for a multi-station dual-frequency radars system in this paper. The effects of signal noise ratio and the number of samples on the performance of range estimation are also analyzed in the paper. Furthermore, both the theoretical variance and Cramer–Rao lower bound (CRLB) are derived. The simulation results verified the proposed method. View Full-Text
Keywords: moving target localization; Cramer–Rao lower bound (CRLB); dual-frequency radar; closed-form solution; range estimation; weighted least squares estimator moving target localization; Cramer–Rao lower bound (CRLB); dual-frequency radar; closed-form solution; range estimation; weighted least squares estimator
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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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Huang, J.; Zhang, Y.; Luo, S. An Efficient Estimator for Moving Target Localization Using Multi-Station Dual-Frequency Radars. Sensors 2017, 17, 2914.

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