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.
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