Multi-View HRRP Recognition Based on Denoising Features Enhancement

High resolution range profiles (HRRPs) have always been an important hot spot in radar automatic target recognition (RATR). However, the problem regarding enhancement in data reliability of HRRPs to improve the final recognition accuracy remains challenging. Recent developments in denoising features enhancement and multi-view data processing provide a potential solution to the problem. In this paper, a multi-view HRRP recognition method based on denoising features enhancement is proposed. A denoising network is first proposed to suppress clutter and enhance the ability of features extraction. Then, multi-view data processing is applied to improve the recognition accuracy rate and data reliability. The effectiveness in terms of signal denoising and the improvement in terms of the recognition accuracy rate are validated by simulation.