DocumentCode :
2678480
Title :
A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling
Author :
Guo, Qiang ; Zhang, Xingzhou ; Li, Zheng
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ.
Volume :
2
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
839
Lastpage :
844
Abstract :
Modern electronic warfare faces complex and dense pulses environments, which brings a severe challenge to radar signal sorting. A novel sorting method is presented based on delaminating coupling and support vector clustering (SVC) in this paper. The 3-dimension feature information is composed of direction of arrival, radio frequency and pulse width in this method which sorts radar pulse sequences for the very first time by employing support vector clustering and delaminating coupling. The experiment result shows that the method can sort efficiently radar signals in the complex pulses environment and the performance is superior to that of K-means clustering sorting
Keywords :
direction-of-arrival estimation; electronic warfare; feature extraction; military computing; pattern clustering; radar signal processing; sorting; support vector machines; 3D feature information; K-means clustering sorting; delaminating coupling; direction of arrival; electronic warfare; pulse width; radar signal sorting; radio frequency; support vector clustering; Clustering algorithms; Data mining; Kernel; Lagrangian functions; Radar; Radio frequency; Sorting; Space vector pulse width modulation; Static VAr compensators; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
Type :
conf
DOI :
10.1109/COGINF.2006.365600
Filename :
4216518
Link To Document :
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