Ground Surveillance Radar Target Classification Based On Fuzzy Logic Approach

Ground Surveillance Radar Target Classification Based On Fuzzy Logic Approach

The fuzzy logic approach to the automatic classification of moving target detected by ground surveillance radar is presented in this paper. The real audio Doppler signatures of various targets are analyzed by spectrogram. As a result of analysis, input and output variables with corresponding members...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Andric, M., Durovic, Z., Zrnic, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Audio Doppler signature
Doppler radar
Fuzzy logic
Fuzzy sets
Land vehicles
Legged locomotion
Radar detection
Road vehicles
Signal analysis
Spectrogram
Surveillance
target classification
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Beschreibung
Zusammenfassung:The fuzzy logic approach to the automatic classification of moving target detected by ground surveillance radar is presented in this paper. The real audio Doppler signatures of various targets are analyzed by spectrogram. As a result of analysis, input and output variables with corresponding membership function are defined. The set of fuzzy rules is established. The defuzzification of the output fuzzy set is performed by computing the "fuzzy centroid". The three target classes (walking man, running man and wheeled vehicle) are successfully classified
DOI:10.1109/EURCON.2005.1630220