关键词: 全球导航卫星系统（GNSS）, 合成孔径雷达（SAR）, 地面目标建模, 导航卫星, BP算法

Abstract: As ground target modeling is based on DEM（Digital Elevation Model） with complex targets and is not conducive to image feature observation of typical target in GNSS-R SAR imaging simulation, Monte Carlo method is adopted to model random surface and Euclidean principle is applied to model buildings and trees, which builds flexible and controllable imaging scenes. The navigation satellites are used as signal source, and the airborne receiver is served as a signal receiving platform, and the GNSS-R signal reflected by the imaging scene is constructed as an echo signal, at last, BP algorithm performs imaging simulation as imaging processing method. Simulation results show that the image generated in this simulation scenario can reflect the structural characteristics and differences in scattering intensity of different ground targets. Prove that the constructed models can be applied to the verification of GNSS-R SAR imaging simulation system.

Key words: Global Navigation Satellite System（GNSS）, Synthetic Aperture Radar（SAR）, ground target modeling, navigation satellites, BP algorithm