Title :
A Classifying Algorithm for Radar Signals Using the Wigner-Ville Distribution and the RBF Probability Density Function Estimator
Author :
Grishin, Yuri P. ; Konopko, Krzysztof
Author_Institution :
Prof., Bialystok Technical University, Electrical Engineering Faculty, ul. Wiejska 45D, 15-351 Bia¿ystok, Poland. phone: +48 85 7469418, fax: +48 85 7469400, e-mail: ypg@pb.bialystok.pl
Abstract :
A radar signal recognition can be accomplished by exploiting the particular features of modulation presented in a radar signal observed in presence of noise. These modulation features are the result of slight radar component variations and acts as an individual signature of a radar. The paper describes a radar signal classification algorithm based on using the Wigner-Ville Distribution (WVD), noise reduction procedure with using a two-dimensional filter and the RBF neural network probability density function estimator which extracts the features vector used for the final radar signal classification. The numerical simulation results for the P4-coded signals are presented.
Keywords :
Classification algorithms; Feature extraction; Noise reduction; Pattern classification; Probability density function; Radar imaging; Radar signal processing; Signal processing algorithms; Signal representations; Time frequency analysis;
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Conference_Location :
Krakow, Poland
Print_ISBN :
978-83-7207-621-2
DOI :
10.1109/IRS.2006.4338031
