DocumentCode
2999949
Title
Cascade Coupling and Support Vector Clustering Based Novel Sorting Method of Radar Pulses
Author
Guo, Qiang ; Zhang, Xingzhou ; Li, Zheng
Author_Institution
Harbin Eng. Univ., Harbin
Volume
2
fYear
2006
fDate
6-9 Aug. 2006
Firstpage
351
Lastpage
355
Abstract
A novel sorting method is presented 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 by employing support vector clustering (SVC) and cascade 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
pattern clustering; radar computing; radar signal processing; support vector machines; K-Means clustering sorting; cascade coupling; electronic support measures system; kernel-based learning methods; novel sorting method; radar pulses; radar signal sorting; support vector clustering; Clustering algorithms; Data engineering; Data mining; Kernel; Radar countermeasures; Radio frequency; Sorting; Space vector pulse width modulation; Static VAr compensators; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location
San Juan
ISSN
1548-3746
Print_ISBN
1-4244-0172-0
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2006.382285
Filename
4267363
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