Simulation of Space-borne SAR Raw Data From Airborne SAR Real Data

Inhalt:
A simple method of simulating space-borne SAR raw received data from airborne SAR real data is presented in this paper. First of all, radiometric calibration is performed about gray data of airborne SAR image, and back-scattering coefficient of different targets is obtained. Then, raw data is generated using mathematical model of point target’s received signal of space-borne SAR, and statistical characteristic of simulating data’s amplitude and phase is analyzed. Finally, imaging processing is accomplished utilizing CS algorithm to received data of space-borne SAR. Statistical analysis and imaging result also indicate that the simulation method is correct and feasible. Raw data’s simulation of space-borne SAR can help us perform optimum design of space-borne SAR system scheme, test and evaluate the performance of every imaging algorithm, and research motion error from satellite platform having influence on received data and image quality.