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A New Improved Step Transform Algorithm for Highly Squint SAR Imaging

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2 Author(s)
Li Wei ; School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China ; Wang Jun

In this letter, a new improved step transform (IST) algorithm is developed for highly squint stripmap synthetic aperture radar (SAR) imaging. Different from the previous step transform algorithms, such as the time-varying step transform algorithm, the new algorithm compensates the cubic phase term and the phase term caused by the varying chirp rate using estimation of the target position focused in the coarse-resolution fast Fourier transform, and these undesirable phase terms can be compensated more appropriately. The algorithm can process SAR imaging under a squint angle of up to 75° in X-band. Simulation results show that the IST algorithm is effective.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:8 ,  Issue: 1 )