The analysis of multi-polarization forward scattering RCS and the effect on target classification and identification

The Forward Scattering Radar (FSR) can obtain moving target profile image with the technology of Shadow Inverse Synthetic Aperture Radar (SISAR), which can be used as target classification and identification. In order to research the effect of multi-polarization on moving target identification in FSR, the following work is carried out. Firstly, based on the theory of SISAR, the connection between forward scattering Radar Cross Section (RCS) and spectral information of profile image is established. Secondly, multi-polarization is firstly introduced to FSR target identification, and the target forward scattering RCS under multi-polarization conditions is obtained using the software of CST. Finally, by analyzing the simulation results, it is found that the same target has a different forward scattering RCS side-lobe under different polarization conditions. This difference corresponds to the difference of target profile image. The more information of target profile can be obtained using joint multi-polarization. The simulation results verify that multi-polarization can improve the ability of target classification and identification in FSR.