Abstract
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.
Highlights
Radar target recognition based on High Resolution Range Profile (HRRP) is the mainstream of the modern war environment perception and recognition
Radar target recognition based on HRRP avoids the complicated motion compensation and can greatly improve the target interception ability to meet the requirements of real-time guidance
The typical representation of the parametric method is the Relax algorithm based on the simple scattering point model, this algorithm is based on the Clean algorithm[5-7]
Summary
Radar target recognition based on High Resolution Range Profile (HRRP) is the mainstream of the modern war environment perception and recognition. Radar target recognition based on HRRP avoids the complicated motion compensation and can greatly improve the target interception ability to meet the requirements of real-time guidance. Feature extraction is the most critical for radar target recognition. The recognition ability of target recognition system depends greatly on the selection of feature vectors and the accuracy of feature extraction. The feature extraction method based on HRRP is mainly divided into non-parametric methods and parameterized methods[3,4]. Based on the Relax algorithm, this paper presents an improved feature extraction method, which uses the position and intensity of the scattering center as the target feature to extract the geometric parameters of the target structure
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