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