Cascade Coupling and Support Vector Clustering Based Novel Sorting Method of Radar Pulses
Qiang Guo, Xingzhou Zhang, Zheng Li · Conference proceedings · 2006
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.