DocumentCode
3457503
Title
SVC & K-Means and Type-Entropy Based De-Interleaving/Recognition System of Radar Pulses
Author
Guo, Qiang ; Zhang, Xingzhou ; Li, Zheng
Author_Institution
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ.
fYear
2006
fDate
20-23 Aug. 2006
Firstpage
742
Lastpage
747
Abstract
First, the paper shows a novel de-interleaving method based on support vector clustering (SVC) and K-means clustering. Secondly, it presents a notion of type-entropy and the recognition technology based on type-entropy is introduced into de-interleaving system so that a novel joint de-interleaving/recognition system of radar pulse sequence is to be presented. The simulation experiment result shows that the system can sort efficiently radar signals in the high density and complex pulses environment
Keywords
entropy; pattern clustering; radar signal processing; support vector machines; K-means clustering; SVC; joint deinterleaving-recognition system; radar pulse sequence; support vector clustering; type-entropy; Data processing; Educational institutions; Electromagnetic measurements; Entropy; Histograms; Radar; Radio frequency; Signal processing; Sorting; Static VAr compensators; K-Means; SVC; de-interleaving; recognition; type-entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Acquisition, 2006 IEEE International Conference on
Conference_Location
Weihai
Print_ISBN
1-4244-0528-9
Electronic_ISBN
1-4244-0529-7
Type
conf
DOI
10.1109/ICIA.2006.305821
Filename
4097754
Link To Document