Parallel computation of synthetic SAR raw data

For modern SAR data acquisition, bi- and multistatic SAR missions become increasingly important. Established methods for processing monostatic SAR signals need to be adapted to new algorithms for signal processing. In order to support the evolution and development of these new algorithms simulated SAR raw data of arbitrary bi- and multistatic SAR scenarios are essential. This paper refers to a modular SAR simulator, which is able to simulate complex bi- and multistatic SAR scenarios. It focuses on the geometrical simulation approach of the simulator and the computationally intensive synthesis of SAR raw data. The main part descripts the parallel implementation of the radar lobe footprint scan and of the succeeding SAR raw data generation executed on a compute cluster. An example will be shown, which compares the simulation of the same SAR scenario on three different compute systems and their runtimes.