Generation of Synthetic Aperture Radar Images using Range Doppler Algorithm

Abstract

Applications of self-illuminating remote sensing systems, and among those, Radar Imagery is growing rapidly. Unique properties of Synthetic Aperture Radar (SAR) system makes it one of the most popular and applicable methods of self illuminating remote sensing techniques for ground deformation monitoring, seismic studies, and many photogrammetry applications. There are several methods and algorithms for processing SAR data, each are convenient for different purposes. Two more common and reliable algorithms are developed in this thesis: a Range Doppler Algorithm and a Chirp Scaling Algorithm. Also Echo cancellation is of great potential for a radar cross section reduction in stealth technology. All the techniques developed in the last decade rely primarily on the assumption that cancellation echo and target echo synchronize in the time domain. However, the cancellation echo may lag behind the target echo when countering a synthetic aperture radar (SAR). This is because the cancellation echo generation requires extra processing time when the SAR transmits and receives large time bandwidth product signal such as linear frequency modulation pulses. In this we used the range Doppler algorithm for the processing of SAR images.