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
Link To Document :
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