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Sensors 2017, 17(8), 1714; https://doi.org/10.3390/s17081714

Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar

1
Qian Xuesen Laboratory of Space Technology, Beijing 100094, 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: 7 June 2017 / Revised: 10 July 2017 / Accepted: 19 July 2017 / Published: 26 July 2017
(This article belongs to the Section Remote Sensors)
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Abstract

Accurate and efficient moving target imaging is an important challenge for targets recognition in current synthetic aperture radar (SAR) combined with a ground moving target indication (GMTI) system. As the key but unknown parameter, the Doppler rates are estimated conventionally by searching any possible values for moving targets imaging. However, this conventional estimation method suffers from low accuracy or low efficiency due to the searching procedure. Focusing on these, we present a method to efficiently image the moving targets without the Doppler rate by Doppler delayed interferometry, and the imaged localization, which is parameterized pseudo-localization, is used to estimate the Doppler rate. In order to improve the estimation accuracy, an improved method based on the Newton method of approximation is proposed by exploiting the unused amplitude information. Compared with the conventional methods, the proposed improved method capable of high accuracy and low computation complexity simultaneously can meet the accurate and efficient requirements in the practical applications. Comparison simulations and real data processing results demonstrate the effectiveness of the proposed methods. View Full-Text
Keywords: SAR; GMTI; moving targets imaging; Doppler delayed interferometry; Doppler rate estimation SAR; GMTI; moving targets imaging; Doppler delayed interferometry; Doppler rate estimation
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Zhang, X.; Liu, L.; Zhang, X. Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar. Sensors 2017, 17, 1714.

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