DocumentCode
2819562
Title
Segment Clustering Radar Signal Sorting
Author
Guo, Qiang ; Xu, Wei ; Wang, Changhong ; Guan, Di
Author_Institution
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
Volume
1
fYear
2009
fDate
24-26 April 2009
Firstpage
943
Lastpage
946
Abstract
Radar signal sorting is picking-up pulse serial of same radar emitter from dense complex pulse signal flow. The tolerance of radar signal sorting is analyzed in modern electronic warfare. The complex and dense pulses environment makes it become a vital factor to restrict the efficiency of sorting of the conventional multi-parameters signal sorting system. A segment clustering radar signal sorting method is presented based on support vector clustering (SVC) according to the idea of statistics learning theory. It prevents tolerance from affecting radar sorting. The accuracy of sorting and the sensitivity of algorithm on parameter variation is analyzed. The experimental results show that the sorting method presented is effective to overcome the tolerance of radar signal sorting.
Keywords
pattern clustering; radar signal processing; sorting; statistical analysis; support vector machines; complex pulse signal flow; radar emitter; radar signal sorting; segment clustering; statistics learning theory; support vector clustering; Data mining; Pulse measurements; Radar measurements; Radio frequency; Signal analysis; Signal processing; Sorting; Space technology; Space vector pulse width modulation; Spaceborne radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.439
Filename
5193849
Link To Document