Name
Title | ||
|---|---|---|
A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling |
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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/COGINF.2006.365600 | IEEE ICCI |
Keywords | Field | DocType |
pattern clustering,complex pulses environment,military computing,sorts radar pulse sequence,direction of arrival,3-dimension feature information,radar signal,experiment result,modern electronic warfare,delaminating coupling,radio frequency,k-means clustering sorting,dense pulses environment,radar signal processing,pulse width,sorting,feature extraction,radar signal sorting,direction-of-arrival estimation,3d feature information,support vector machines,support vector clustering,electronic warfare,radar,k means clustering,data mining,kernel,clustering algorithms | Kernel (linear algebra),Radar,Pattern recognition,Direction of arrival,Computer science,Support vector machine,sort,Sorting,Artificial intelligence,Electronic warfare,Cluster analysis | Conference |
Volume | ISBN | Citations |
2 | 1-4244-0475-4 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Guo | 1 | 629 | 72.75 |
| Xingzhou Zhang | 2 | 0 | 2.03 |
| Zheng Li | 3 | 0 | 0.68 |