SAR moving targets detection based on the Chirp-Fourier transform

Abstract

Synthetic aperture radar (SAR) is an active, all-weather capable system to produce high resolution images of the ground. The two imaging directions are range and azimuth (flight direction). The relative motion between platform and ground is exploited for image generation in the azimuth. In SAR processing it is assumed that the ground is static. Moving targets cause errors in SAR images, like defocusing and displacement, depending on the direction of their motion. Since detection, identification and tracking of moving objects in SAR signals are necessary in both civil and military applications, the errors need to be corrected. In this paper, we propose the method based on the Chirp-Fourier transform (CFT) to detect moving targets. Processing steps of this method and simulated results are given in detail. Simulation results show this method can detect moving targets and estimate its parameters in noise case effectively.