Combinational matching method of amplitude-scale and time-shift for radar HRRP recognition

Radar high-resolution range profiles (HRRPs) are very sensitive to amplitude-scale and time-shift, and their good recognition performance depends on precisely the matching methods of both sensitivities, thereby, the method to handle these sensitivities is a challenge in the field of Radar automatic targets recognition(RATR). However, most approaches available did not pay much attention to this problem. This paper proposes two algorithms to jointly matching the amplitude and time-shift for training and test phase, respectively, taking Automatic Gaussian Classifier (AGC) as an example. Experiments based on measured data show our algorithms have a remarkable larger average recognition rate than that of the regular method for AGC.