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ISAR imaging of moving satellite based on GO–PO scattering model

Published online by Cambridge University Press:  10 February 2017

Jiakun Wang ,
Min Zhang ,
Pengbo Wei  and
Panpan Jiang
Jiakun Wang*
Affiliation:
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
Min Zhang
Affiliation:
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
Pengbo Wei
Affiliation:
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
Panpan Jiang
Affiliation:
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
*
Corresponding author: M. Zhang Email: [email protected]
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Abstract

An efficient algorithm is proposed for the radar cross-section (RCS) prediction of complex target with electronically large size, which is a combination of geometrical optics and physical optics (GO–PO) method. The method taking the multiple reflections into account is applied to the electromagnetic scattering analysis of a satellite model. Then RCS curves of entire satellite model and the model without antenna structure are figured out. Based on the simulated echoes, the traditional inverse synthetic aperture radar (ISAR) images are discussed. Moreover, an application of motion compensation technique based on the joint time-frequency analysis is presented for ISAR imaging of the moving satellite that has both translational and rotational movements. Numerical results show good performance of GO–PO method in accuracy and efficiency and the great influence of the antenna with corner structures on the scattering characteristic of the satellite.

Keywords

GO–POEM scatteringISAR imagingMotion compensationJTF
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Special Issue 7: EuCAP 2016 special issue , September 2017 , pp. 1499 - 1507
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2017 

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