DocumentCode
2667740
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
fYear
1999
fDate
1999
Firstpage
213
Lastpage
218
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-5256-4
Type
conf
DOI
10.1109/IDC.1999.754156
Filename
754156
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