Title :
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
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;
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
DOI :
10.1109/ICINFA.2009.5205119
