Generation of IQ data simulating a SAR acquisition: targets in motion, clutter and shadows

In order to test our radar algorithms in a more and more complex environment, IQ data obtained through a SAR acquisition campaign may not be enough: they are limited to predefined trajectories and beams, and are dependent of current weather conditions and flight authorizations. These acquisition campaigns are also expensive and hard to set up, thus few data are produced and are insufficient to establish the validity domain of algorithms. In order to complete these campaigns, this paper describes a method of generating the SAR acquisition through IQ data in various environments, with mobile targets modeled via MOCEM and complex trajectories. This method dealing with a large amount of data, it has been optimized to run efficiently on a GPU.