Specific radar emitter recognition based on wavelet packet transform and probabilistic SVM

Author

Li, Lin ; Ji, Hongbing ; Wang, Lei

Author_Institution

Sch. of Electron. Eng., Xidian Univ., Xi´´an, China

fYear

2009

fDate

22-24 June 2009

Firstpage

1308

Lastpage

1313

Abstract

Radar emitter recognition plays an important role in military automated command and control system. It is a composite task that involves radar signal interception, modulation recognition, features extraction and classification. In this paper, a wavelet packet transform is used for feature extraction of unintentional modulation on pulse (UMOP). Then specific radar emitter recognition is achieved by a probabilistic SVM (PSVM). Experiments on simulation and actual radar data verify the correctness and validity of this method.

Keywords

feature extraction; military radar; probability; radar computing; radar signal processing; support vector machines; wavelet transforms; control system; feature classification; features extraction; military automated command; modulation recognition; probabilistic SVM; radar emitter recognition; radar signal interception; unintentional modulation on pulse; wavelet packet transform; Feature extraction; Frequency; Phase noise; Pulse modulation; Radar; Space vector pulse width modulation; Support vector machine classification; Support vector machines; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation, 2009. ICIA '09. International Conference on

Conference_Location

Zhuhai, Macau

Print_ISBN

978-1-4244-3607-1

Electronic_ISBN

978-1-4244-3608-8

Type

conf

DOI

10.1109/ICINFA.2009.5205119

Filename

5205119