Full-Attitude High Resolution Range Profile Data Extrapolation Method Based on Transfer Learning

This paper proposes a full-attitude high resolution range profile (HRRP) data extrapolation method based on transfer learning. In this method, by using the full-attitude HRRP data of one target, the HRRP data of another similar target is expanded to obtain the full-attitude HRRP data. Then, the HRRP data obtained by the network model is reconstructed by the scattering center model. The false scattering centers is eliminated. Similar HRRP reaches 90% of the total.