Linear Array SAR Autofocus 3-D Imaging via Maximum Sharpness Semidefinite Programming

被引：0
|
作者：
Wei S.-J. [1 ]
Zhang X.-L. [1 ]
Shi J. [1 ]
Pu L. [1 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2019年 / 48卷 / 01期
关键词：
Autofocusing imaging; Back projection algorithm; Linear array SAR; Maximum sharpness; Radar three-dimensional imaging; Semidefinite programming;
D O I：
10.3969/j.issn.1001-0548.2019.01.001
中图分类号：
学科分类号：
摘要：
Linear array synthetic aperture radar (LASAR) three-dimensional (3-D) imaging technology is a promising innovative 3-D radar imaging technology. As several antenna phase centers (APCs) activity in one pulse repetition time (PRT) simultaneously, it is very difficult to accurately compensate the motion errors of these APCs using navigation measurement data (e.g. inertial measuring unit and global positioning system) only. In this paper, a novel autofocus algorithm is proposed for LASAR 3-D imaging by exploiting maximum sharpness back projection via semidefinite programming. In the scheme, the linear mathematical model of back projection algorithm processing is set up, an iterative method aiming to maximize the LASAR image sharpness is derived to obtain the motion errors of the APCs. Moreover, to improve computational efficacy, only the dominant scatterers are selected as the input of the phase-error estimation. The effectiveness of the algorithm is demonstrated with both simulation and experimental examples. © 2019, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
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页码：1 / 7
页数：6
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