Meteorological Clutter Modeling and Target Detection Performance Analysis for Spaceborne Surveillance Radar Systems

Meteorological clutter is composed of gas molecules and aerosols. It can scatter and absorb electromagnetic waves emitted by the spaceborne radar, especially under the extreme weather conditions, influencing the target detection performance in a spaceborne radar system with a wide searching mode. In this paper, a multichannel signal modeling method of meteorological clutter is established with the consideration of the distribution region, particle size, and velocity components of meteorological particles as well as the attenuation of radar signals, where the meteorological clutter including the cloud, rain, and snow particles are considered under different climate environments. Based on the traditional spaceborne multi-channel radar model, the effects of different meteorological conditions on the adaptive suppression and target detection performances in a spaceborne multi-channel radar system are analyzed. The simulation results may provide a reference for the work of spaceborne multichannel radar in the harsh climate scene.