DocumentCode :
323713
Title :
The application of artificial neural networks to naval ESM radar function identification
Author :
Roe, Ann
Author_Institution :
Dept. of EW Syst., Defence Res. Agency, Cosham, UK
fYear :
1994
fDate :
34683
Firstpage :
42552
Lastpage :
42554
Abstract :
Identification is the last stage in ESM (electronic surveillance measures) processing, which is currently the radar type classification of each track. A track is a parametric description of a radar signal thought to be in the environment that results from the preceding stages of pulse sorting/grouping and characterisation. Identification consists essentially of an ESM radar library and an identification algorithm. The library describes the characteristics of known radars to be used by the identification algorithm. The identification algorithm defines the method by which the parameters of the track are matched against the library information and the result is a radar type identity for the track
Keywords :
backpropagation; artificial neural networks; electronic surveillance measures; naval ESM radar function identification; parametric description; radar signal; radar type classification; radar type identity;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Applications of Neural Networks to Signal Processing (Digest No. 1994/248), IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
675265
Link To Document :
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