DocumentCode
2785452
Title
Analysis of measured radar data for Specific Emitter Identification
Author
Conning, Mariëtte ; Potgieter, Ferdie
Author_Institution
Defence, Peace, Safety & Security, Council for Sci. & Ind. Res., Tshwane, South Africa
fYear
2010
fDate
10-14 May 2010
Firstpage
35
Lastpage
38
Abstract
Measured radar data assisted in the successful development and implementation of Specific Emitter Identification (SEI) signal processing algorithms. The aim of the algorithm is the identification of a specific emitter within a single class of emitters. The processes developed are pulse extraction, feature calculation, dimensionality reduction and classification. A pulse is detected whenever the phase changes from being random to being linear. Time domain features are then calculated from these extracted pulses to populate a feature vector. Some redundancy exists in the feature vector and a process of dimensionality reduction is followed to obtain the optimum set of features. A Fuzzy ARTMAP classifier completes the process of specific emitter identification to demonstrate the improvement in Correct Classification Decisions (CCD) using the reduced feature vector.
Keywords
ART neural nets; fuzzy set theory; radar computing; radar signal processing; signal classification; correct classification decisions; dimensionality reduction; feature calculation; fuzzy ARTMAP classifier; measured radar data; pulse extraction; reduced feature vector; signal processing; specific emitter identification; time domain features; Data analysis; Data mining; Fractals; Frequency; Pulse measurements; Radar detection; Radar measurements; Radar signal processing; Signal analysis; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2010 IEEE
Conference_Location
Washington, DC
ISSN
1097-5659
Print_ISBN
978-1-4244-5811-0
Type
conf
DOI
10.1109/RADAR.2010.5494658
Filename
5494658
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