Title :
Classification of polyphase and polytime LPI radar signals with eigenimage methods
Author :
Kocaadam, Engin ; ÖzkazanÇ, Yakup
Author_Institution :
MGEO Grubu, ASELSAN A.S., Ankara, Turkey
Abstract :
LPI (Low Probability of Intercept) radars are based on an advanced architecture which makes use of coded pulses. As a synergetic byproduct, a low probability of intercept is also achieved due to the low power levels of LPI radars. In this study, some classification based methods for the uncooperative detection of LPI radar pulses are proposed. We specialized on polyphase and polytime type LPI signal pulses and developed methods for the automatic identification of these types of signals by eigenimage methods based on time-frequency transformations.
Keywords :
image classification; probability; radar imaging; time-frequency analysis; coded pulses; eigenimage methods; low probability of intercept; polyphase LPI radar signal classification; polytime LPI radar signal classification; signal automatic identification; synergetic byproduct; time frequency transformation; uncooperative detection; Doppler radar; Principal component analysis; Radar detection; Radar imaging; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
DOI :
10.1109/SIU.2010.5653078