The paper presents a matrix approach to implementation of SAR signal generating and processing schemes. This approach is advantageous when matrix oriented software such as MAtlab is used. Algorithms written in this type of software packages run faster compared to the same algorithms written for the same package using classical programming techniques such as loops, for instance. The approach is used to implement a SAR signal simulator in the Matlab and Simulink packages. A technique based on the evaluation of superposition integral in the Fourier domain is used. First results from the implementation of an algorithm presented in literature are shown and a modified technique is proposed to eliminate certain limitations found in the original algorithm.@en

In this papaer, techniques for raw SAR signal generation are studied. An approach based on the evaluation of a superposition intergral in the Fourier domain is studied and compared to a direct evaluation of this integral. Results form the implementation of an algorithm presented in literature are shown and a modified technique is proposed to eliminate certain limitations found in the original algorithm. A matrix approach to implementation of SAR signal generator is proposed. This approach is advantgeous when matrix oriented software such as Matlab is used. Algorithms written in this type of software packages run faster compared to the same algorithms written for the same package using classical programming techniques such as loops, for instance. The approach is used to implement a SAR signal simulator in the Matlab and Simulink packages. The aim is to create a fast lightweight simulator capable of evaluating signals from standing and moving point targets, as well as extended scenes.@en