Munitions classification using an acoustic resonance spectroscopic technique

Author

Roberts, Randy S. ; Chen, Jerome T. ; Vela, Octavio A. ; Lewis, Paul S.

Author_Institution

Los Alamos Nat. Lab., NM, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

991

Abstract

A nondestructive evaluation technique for classifying artillery munitions is presented. This technique, based on acoustic resonance measurements, has been successfully demonstrated on a wide variety of high explosive and chemical munitions. The technique consists of building templates of spectral features from sets of known munitions. Spectral features of unknown munitions are compared with a library of templates, and the degree of match between the features and the templates is used to classify the munition. The paper describes the technique, including the feature extraction, clustering and classification algorithms

Keywords

acoustic signal processing; feature extraction; military computing; ultrasonic materials testing; weapons; 30 kHz; acoustic resonance spectroscopic technique; artillery munitions; chemical munitions; classification algorithms; clustering; feature extraction; high explosive munitions; munitions classification; nondestructive evaluation technique; spectral features; templates; Acoustic measurements; Chemicals; Classification algorithms; Clustering algorithms; Explosives; Feature extraction; Libraries; Resonance; Spectroscopy; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342421

Filename

342421