Abstract

Four improved chirp scaling algorithms (CSAs) are proposed to reconstruct images from synthetic aperture radar (SAR) data received at high squint angles, in which a larger synthetic aperture is required to receive sufficient amount of data for image reconstruction, and the range migration also becomes more serious, demanding more computational load and larger memory size. The proposed methods reconstruct better SAR images with less computational load and memory than the conventional CSA, which are verified by simulations.

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