Radar Target Precession Feature Extraction Based on Multi-view Fusion

Abstract

The precession angle is one of the important characteristics of radar target recognition. Aiming at the existing problem of continuous observation time and the biggish error estimation existing in the radar target feature extraction methods, this paper presents the radar multi-view fusion precession feature extraction method. Based on multiple radar cone target precession model, the method uses only less than half a cycle of radar observation data, obtaining the radial length curve by generalized Hough transform, then the precession angle characteristic is obtained. Simulation results demonstrate the effectiveness of this method.