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):

Report Date:

1987-12-01

Pagination or Media Count:

39.0

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.

Subject Categories:

  • Active and Passive Radar Detection and Equipment
  • Cybernetics
  • Statistics and Probability
  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE