An Algorithm Based on Relax for Radar HRRP Feature Extraction

Due to the complexity of target scattering points in high-resolution range cell, the paper makes a detailed study of the scattering center model based on the theory of the scattering center model, and analyzes the traditional extraction algorithm’s limitations. An improved feature extraction method based on Relax for feature extraction has been presented in this paper. Firstly, the method has preprocessed the original digitals so that the noises can be cleaned up and the useful information can be strengthened, and then extracted features in effective range cell. Simulation results based on the measured data prove that the new method could reduce the computation complexity and increase the recognition rate, accurately reflecting geometry positional information of the target.