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
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;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.439