loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 International Joint Conference on Computational Sciences and Optimization
Segment Clustering Radar Signal Sorting
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
ASCII Text
x 
 
Qiang Guo, Wei Xu, Changhong Wang, Di Guan, "Segment Clustering Radar Signal Sorting," Computational Sciences and Optimization, International Joint Conference on, vol. 1, pp. 943-946, 2009 International Joint Conference on Computational Sciences and Optimization, 2009.
 
 
BibTex
x
 
@article{ 10.1109/CSO.2009.439,
author = {Qiang Guo and Wei Xu and Changhong Wang and Di Guan},
title = {Segment Clustering Radar Signal Sorting},
journal ={Computational Sciences and Optimization, International Joint Conference on},
volume = {1},
year = {2009},
isbn = {978-0-7695-3605-7},
pages = {943-946},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.439},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Sciences and Optimization, International Joint Conference on
TI - Segment Clustering Radar Signal Sorting
SN - 978-0-7695-3605-7
SP943
EP946
A1 - Qiang Guo,
A1 - Wei Xu,
A1 - Changhong Wang,
A1 - Di Guan,
PY - 2009
VL - 1
JA - Computational Sciences and Optimization, International Joint Conference on
ER -
 
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.
Citation:
Qiang Guo, Wei Xu, Changhong Wang, Di Guan, "Segment Clustering Radar Signal Sorting," cso, vol. 1, pp.943-946, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
Usage of this product signifies your acceptance of the Terms of Use.