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 (W_pt6), the seventh dimension of wavelet packet transform (W_pt7), pulse repetition interval means (m_PRI), 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