Accession Number : ADA191849
Title : Nonparametric Discriminant Analysis Applied to the Extraction and Selection of Radar Target Signature Features.
Descriptive Note : Final rept.,
Corporate Author : OHIO STATE UNIV COLUMBUS ELECTROSCIENCE LAB
Personal Author(s) : Snorrason, O ; Garber, F D
PDF Url : ADA191849
Report Date : Dec 1987
Pagination or Media Count : 39
Abstract : A nonparametric criterion of discriminant analysis is applied to a large scale data set, of radar returns from aircrafts, for frequency selection. The performance of the optimum sets characterized is evaluated using Monte-Carlo simulation. The effect of the number of frequencies and the a priori information of the azimuth angle on the performance of the pattern recognition system is examined. Also the effect of multiple measurements is examined.
Descriptors : *DISCRIMINATE ANALYSIS, *MONTE CARLO METHOD, *PATTERN RECOGNITION, *RADAR SIGNATURES, *RADAR TARGETS, ANGLES, AZIMUTH, FREQUENCY, FREQUENCY ALLOCATION, MEASUREMENT, NONPARAMETRIC STATISTICS, OPTIMIZATION, RADAR, SIMULATION
Subject Categories : Active & Passive Radar Detection & Equipment
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE