DocumentCode :
2648121
Title :
A new method for recognising radar radiating-source
Author :
Han, Jun ; He, Ming-hao ; Mao, Yan ; Ren, Ming-qiu
Author_Institution :
Wuhan Radar Acad., Wuhan
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1665
Lastpage :
1668
Abstract :
A new method for recognising radar radiating-source is proposed in this paper. The sixth dimension of wavelet packet transform (Wpt6), the seventh dimension of wavelet packet transform (Wpt7), pulse repetition interval means (mPRI), and pulse repetition interval variance (sigma2 PRI) are used as the gist for recognising radar radiating-source that is based on the characteristics of these parameters, and the RBPNN recognition is designed. By simulation, it shows that this new method can improve the recognition rate while it can improve the recognition velocity.
Keywords :
radar signal processing; radial basis function networks; wavelet transforms; RBPNN recognition; pulse repetition interval means; pulse repetition interval variance; radar radiating-source recognition; radial basis probabilistic neural networks; wavelet packet transform; Character recognition; Frequency; Pattern analysis; Pattern recognition; Radar countermeasures; Radar equipment; Signal analysis; Wavelet analysis; Wavelet packets; Wavelet transforms; Radar; characteristic parameters; pulse repetition interval (PRI); radial basis probabilistic neural networks (RBPNN); radiating-source recognition; wavelet packet transform (WPT);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421720
Filename :
4421720
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2648121
بازگشت