Accession Number : ADA182330
Title : Syntactic Pattern Recognition for Radar Target Identification.
Descriptive Note : Technical rept.,
Corporate Author : OHIO STATE UNIV COLUMBUS ELECTROSCIENCE LAB
Personal Author(s) : Sands,O S ; Garber,F D
PDF Url : ADA182330
Report Date : May 1987
Pagination or Media Count : 70
Abstract : 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.
Descriptors : *RADAR TARGETS, *PATTERN RECOGNITION, IDENTIFICATION SYSTEMS, COMPUTERIZED SIMULATION, MONTE CARLO METHOD, ALGORITHMS
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE