Syntactic Pattern Recognition for Radar Target Identification

A syntactic pattern recognition system is proposed for use in radar target identification. The system utilizes one of three different level-crossing based pattern representation schemes. Likelihood functions are estimated from relative frequency densities and are used for classification of the symbo...

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Bibliographic Details
Main Authors: Sands,O S, Garber,F D
Format: Report
Language:English
Subjects:
Active & Passive Radar Detection & Equipment
ALGORITHMS
COMPUTERIZED SIMULATION
IDENTIFICATION SYSTEMS
Inference(Grammatical)
Likelihood functions
MONTE CARLO METHOD
PATTERN RECOGNITION
RADAR TARGETS
Representations
Syntactic system
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Description
Summary:A syntactic pattern recognition system is proposed for use in radar target identification. The system utilizes one of three different level-crossing based pattern representation schemes. Likelihood functions are estimated from relative frequency densities and are used for classification of the symbolic pattern representation. Grammatical inference is used to derive a syntax analysis algorithm from the likelihood function classifier performance is estimated using Monte-Carlo simulations, Directions of further research on this promising topic are discussed.