DocumentCode :
3781869
Title :
Radar Target Precession Feature Extraction Based on Multi-view Fusion
Author :
Chuanzi Tang;Hongmei Ren;Zhihe Xiao;Xiaohong Wang
Author_Institution :
Sci. &
fYear :
2015
Firstpage :
1617
Lastpage :
1620
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"
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.294
Filename :
7518475
Link To Document :
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