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Journal of Applied Remote Sensing • new

Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis
Author(s): Yulin Huang; Junjie Wu; Zhongyu Li; Haiguang Yang; Jianyu Yang
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Paper Abstract

Raw data generation for synthetic aperture radar (SAR) is very powerful for designing systems and testing imaging algorithms. In this paper, a raw data generation method based on Fourier analysis for one-stationary bistatic SAR is presented. In this mode, two-dimensional (2-D) spatial variation is the major problem faced by the fast Fourier transform–based raw data generation. To deal with this problem, a 2-D linearization followed by a 2-D frequency transformation is employed in this method. This frequency transformation can reflect the 2-D spatial variation. Residual phase compensation is also discussed. Numerical simulation verifies the method.

Paper Details

Date Published: 2 March 2016
PDF: 14 pages
J. Appl. Remote Sens. 10(1) 015016 doi: 10.1117/1.JRS.10.015016
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Yulin Huang, Univ. of Electronic Science and Technology of China (China)
Junjie Wu, Univ. of Electronic Science and Technology of China (China)
Zhongyu Li, Univ. of Electronic Science and Technology of China (China)
Haiguang Yang, Univ. of Electronic Science and Technology of China (China)
Jianyu Yang, Univ. of Electronic Science and Technology of China (China)


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