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| Fast Algorithms for SAR Raw Data Simulation with Large Squint Angles |
| Diao Gui-jie Xu Xiao-jian |
| School of Electronics and Information Engineering Beihang University, Beijing 100191, China |
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Abstract This paper presents two efficient algorithms for small squint and large squint mode Synthetic Aperture Radar (SAR) raw data simulation. One is based on SCaled Fourier Transform (SCFT) and the other is based on time-domain integration along range dimension. By SCFT the traditional frequency-domain algorithm with two-dimensional FFT is extended to small squint mode SAR. The algorithm employs SCFT to replace interpolation. The method improves both the computational efficiency and the simulation accuracy. Moreover, the proposed algorithm with time-domain integration along range dimension is applicable to large squint mode SAR. Compared with conventional time-domain technique, it is more efficient while still accurate. Simulation results demonstrate the validity of the two proposed algorithms.
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Received: 18 May 2010
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Corresponding Authors:
Xu Xiao-jian
E-mail: xiaojianxu@buaa.edu.cn
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2011, Vol. 33 
