Title :
LPI Radar Sinyallerinin Ozimge Yaklasimi ile Siniflandirilmasi Classification of LPI Radar Signals via Eigenimage Approach
Author :
Kocaadam, Engin ; Özkcazanç, Yacup
Author_Institution :
MGEO Grubu, ASELSAN A.¿. P.K. 30, 06011 Etlik / Ankara. ekadam@mgeo.ase1san.com.tr
Abstract :
Low Probability of Intercept (LPI) Radar signals have the property of wide bandwidth, low peak power to make them difflcult to be detected by Electronic Support Measures (ESM) receivers. In this study, the detection performances of LPI Radar signals with Wigner-Ville Distributions are examined by treating each distribution as an image. The classification can be performed with an image processing algorithm, eigenimage approach over Wigner - Ville Distributions.
Keywords :
Bandwidth; Doppler radar; Frequency; Image processing; Power measurement; Principal component analysis; Pulse compression methods; Radar detection; Radar imaging;
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
DOI :
10.1109/SIU.2007.4298644