Accession Number : AD0775728
Title : The Characterization and Discrimination of Exoatmospheric Objects through Multivariate Empirical Analysis.
Descriptive Note : Final rept.,
Corporate Author : MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
Personal Author(s) : Collins,D. C. ; Meisel,W. S.
Report Date : 28 DEC 1973
Pagination or Media Count : 173
Abstract : The objectives of the effort were to investigate implications of data on 1000 radar signatures as to (a) the level of discrimination of signatures of the target class (reentry vehicles) from signatures of the non-target class (other objects), and (b) to indicate the empirically derived decision rules and features of the signatures best for that purpose. The guiding philosophy was to develop an estimate of the best level of discrimination performance inherently possible, given the characteristics of the physical objects as evinced in the signatures, with minimal dependence on the physical model or on subjective inspection of the data. Methods used were the empirical analysis of multivariate data and, in particular, state-of-the-art pattern recognition techniques for feature creation, feature ranking, and discrimination algorithm development. (Modified author abstract)
Descriptors : *Reentry vehicles, *Radar signatures, *Multivariate analysis, Target discrimination, Computerized simulation, Graphics, Curve fitting
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE