Efficient SAR Raw Data Simulation of Extended Scenes Using Chirp Scaling Principle

To simulate Synthetic Aperture Radar (SAR) raw data of extended scenes efficiently, a novel hybrid domain method based on Chirp Scaling (CS) principle is proposed via the analysis of the SAR raw data model. This method first of all provides a signal by stretching the input surface reflectivity of the target in the azimuth and range directions respectively. Then SAR raw data is derived by inversed-equalizing the signal according to CS principle. A simulation scheme and the steps of processing are proposed. Some simulation results are finally presented in order to verify the accuracy and the effectiveness of the proposed simulation scheme.