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
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;
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2006.382285
