Synthetic Aperture Radar Signal Processing

Abstract

Synthetic aperture radar signal processing is a two-dimensional operation consisting of the range compression and the azimuth compression. SAR signal processing is very important for generating and processing of various data products for different applications and analysis of the target features. The SAR raw data are 2D array of sampled echoes in complex form. The practicality of the algorithms for SAR signal processing are used to compress the energy of the echoes, thereby increasing the resolution of the SAR image. In this work, it is shown how the Range-Doppler and Stolt Interpolation techniques are carried out. The implementation of the differential azimuth compression (DAC) for the Stolt Interpolation algorithm is presented and analyzed. The Range-Doppler and Stolt Interpolation algorithms are demonstrated in Matlab and compared.