NDLI: A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling

Content Provider	IEEE Xplore Digital Library
Author	Qiang Guo Xingzhou Zhang Zheng Li
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. & Commun. Eng., Harbin Eng. Univ. (Qiang Guo; Xingzhou Zhang)
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
Starting Page	839
Ending Page	844
File Size	1884840
Page Count	6
File Format	PDF
ISBN	1424404754
DOI	10.1109/COGINF.2006.365600
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sorting Radar Static VAr compensators Radio frequency Clustering algorithms Space vector pulse width modulation Support vector machines Data mining Lagrangian functions Kernel
Content Type	Text
Resource Type	Article

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A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling