Title :
Radar Target Precession Feature Extraction Based on Multi-view Fusion
Author :
Chuanzi Tang;Hongmei Ren;Zhihe Xiao;Xiaohong Wang
Author_Institution :
Sci. &
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.
Keywords :
"Radar cross-sections","Spaceborne radar","Feature extraction","Electromagnetic scattering","Curve fitting","Estimation"
Conference_Titel :
Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
DOI :
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.294