Radar target recognition algorithm based on RCS ob

Authors: Ting Wang Wenjian Bi Yanlong Zhao Wenchao Xue

Publish Date: 2015/12/29

Volume: 29, Issue: 3, Pages: 573-588

PDF Link

Abstract

This paper studies the problem of radar target recognition based on radar cross section RCS observation sequence First the authors compute the discrete wavelet transform of RCS observation sequence and extract a valid statistical feature vector containing five components These five components represent five different features of the radar target Second the authors establish a setvalued model to represent the relation between the feature vector and the authenticity of the radar target By setvalued identification method the authors can estimate the system parameter based on which the recognition criteria is given In order to illustrate the efficiency of the proposed recognition method extensive simulations are given finally assuming that the true target is a cone frustum and the RCS of the false target is normally distributed The results show that the setvalued identification method has a higher recognition rate than the traditional fuzzy classification method and evidential reasoning method

Keywords: