Processing of Blurred Image Data from Numerical Computation for Synthetic Aperture Radar

Abstract

Traditional synthetic aperture radar (SAR) processing algorithms are incapable of exactly implementing the aperture-variant motion compensation due to the superposition of the synthetic apertures of several targets. Thus, a reference range bin (for example, range center of the sub-scene) and reference azimuth time (for example, the center of synthetic aperture) are applied, resulting in the range envelopes distortions and residual azimuth phase errors that impact the focusing, geometric fidelity of the processed SAR image. In this paper, an improved precise tomography- and aperture-dependent compensation fashion is developed to reach the precise and complete compensation of these space-variant motion errors. To this end, numerical computation is designed for the accurate azimuth frequency-time mapping in the presence of the residual phase errors. In the experimental part, some simulations are used to demonstrate the superiority of the proposed approach.