Extraction of Radar Target Length Based on High Resolution Range Profile

In the identification of radar target based on high resolution range profile (HRRP), the target length is an important feature. It can be used not only for the rough sort to decrease the time of identification, but also for the interception of real target echo information from the raw data to reduce noise redundancy. In this paper, an adaptive difference operator for target length feature extraction from HRRP is proposed. It is used to deal with three airplane-measured data. Experimental results and analysis are provided to show that the proposed method can effectively acquire the radial projection length of the target with high precision even in case of lower Signal-to-Noise Ratio (SNR).