2 March 2016 Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yulin Huang, Junjie Wu, Zhongyu Li, Haiguang Yang, Jianyu Yang, "Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis," Journal of Applied Remote Sensing 10(1), 015016 (2 March 2016). https://doi.org/10.1117/1.JRS.10.015016 . Submission:
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