Title :
A neural approach to automatic pulse repetition interval modulation recognition
Author :
Noone, Gregory P.
Author_Institution :
Electron. Warfare Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
The intervals between the pulse time of arrival (TOA) values of a radar pulse train nearly always follow a specific modulation type. We pursue a fully automated neural approach for deducing this modulation type. The approach is shown via simulation to be extremely reliable and robust to the problems of missing and spurious pulses, as well as requiring only relatively few pulse TOA values
Keywords :
multilayer perceptrons; pattern recognition; pulse modulation; radar signal processing; fully automated neural approach; pulse repetition interval modulation; pulse time of arrival; radar pulse train; Australia; Electronic warfare; Histograms; Pulse modulation; Radar; Radio frequency; Receivers; Robustness; Signal analysis; Signal processing;
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
DOI :
10.1109/IDC.1999.754156
