Citation

Arrowsmith SJ, Taylor SR. J. Acoust. Soc. Am. 2013; 133(3): EL168-73.

Affiliation

Geophysics Group, Los Alamos National Laboratory, New Mexico 87545 arrows@lanl.gov.

Copyright

(Copyright © 2013, American Institute of Physics)

DOI

10.1121/1.4789871

PMID

23464124

Abstract

A methodology for the combined acoustic detection and discrimination of explosions, which uses three discriminants, is developed for the purpose of identifying weak explosion signals embedded in complex background noise. By utilizing physical models for simple explosions that are formulated as statistical hypothesis tests, the detection/discrimination approach does not require a model for the background noise, which can be highly complex and variable in practice. Fisher's Combined Probability Test is used to combine the p-values from all multivariate discriminants. This framework is applied to acoustic data from a 400 g explosion conducted at Los Alamos National Laboratory.

Language: en