Accession Number : ADA308959

Title :   Optimal Physics - Based Detection and Classification of Objects in the Vicinity of an Uncertain Seafloor.

Descriptive Note : Final rept. 15 Feb 94-30 Sep 95,

Corporate Author : DUKE UNIV DURHAM NC SCHOOL OF ENGINEERING

Personal Author(s) : Noltse, L. W. ; Alexandrou, D.

PDF Url : ADA308959

Report Date : MAY 1996

Pagination or Media Count : 20

Abstract : A physics based approach to the design of the optimum detector is presented which merges statistical physical modeling of the acoustic scattering medium with a probabilistic description of environmental prior knowledge within a Bayesian decision theoretic framework. For the high frequency, shallow water, reverberation limited environment considered herein, the parameterization of the acoustic medium is essentially limited to modeling acoustic interaction with allisotropic seafloor microroughness with unknown horizontal wave number spectrum parameters. Simulation results, presented in terms of receiver operator characteristic (ROC) curves, aim to illustrate three principal points: (1) the cost of ignoring the bottom reverberation spatial coherence when it is present in the data; (2) the sensitivity of the likelihood ratio detector for a known environment to incorrect prior knowledge of the microroughness wavenumber spectrum; and (3) the robust performance realizable by the optimum detection algorithm that properly accounts for environmental uncertainty within a Bayesian framework.

Descriptors :   *SONAR SOUND ANALYZERS, *STATISTICAL ANALYSIS, MATHEMATICAL MODELS, ALGORITHMS, SPATIAL DISTRIBUTION, UNCERTAINTY, OPTIMIZATION, DECISION MAKING, PROBABILITY, COHERENCE, ACOUSTIC DETECTION, SHALLOW WATER, BAYES THEOREM, ACOUSTIC SCATTERING, REVERBERATION, TARGET CLASSIFICATION, OCEAN ENVIRONMENTS, SONAR RECEIVERS, OCEAN BOTTOM, SONAR PERSONNEL.

Subject Categories : Acoustic Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE