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Underwater Robots and Key Technologies for Operation Control. [PDF]
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Examining the robustness of automated aural classification of active sonar echoes
The Journal of the Acoustical Society of America, 2014Active sonar systems are used to detect underwater man-made objects of interest (targets) that are too quiet to be reliably detected with passive sonar. Performance of active sonar can be degraded by false alarms caused by echoes returned from geological seabed structures (clutter) in shallow regions.
Stefan M, Murphy, Paul C, Hines
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Perception-based automatic classification of impulsive-source active sonar echoes
The Journal of the Acoustical Society of America, 2007Impulsive-source active sonar systems are often plagued by false alarm echoes resulting from the presence of naturally occurring clutter objects in the environment. Sonar performance could be improved by a technique for discriminating between echoes from true targets and echoes from clutter. Motivated by anecdotal evidence that target echoes sound very
Victor W, Young, Paul C, Hines
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Featureless classification for active sonar systems
OCEANS'10 IEEE SYDNEY, 2010Active sonar systems depend on classification algorithms to identify target echoes and suppress false alarms. Historically, classifiers use a set of empirically derived features that exhibit some statistical separation between background clutter and target echoes.
M. E. Soul, J. B. Broadwater
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Active sonar clutter classification using higher order moments
Proceedings of Meetings on Acoustics, 2010The statistics of normalized matched-filter echoes from an active sonar system operating in a myriad of oceanic environments has been studied extensively for three broad clutter classes including using low-order cumulants to classify subregions of the data [Gelb et al., Proceedings of the ISURC (2008) and references therein].
James M. Gelb, Andrew W. Oldag
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Object classification and acoustic imaging with active sonar
The Journal of the Acoustical Society of America, 1992The theoretical underpinnings of underwater acoustic classification and imaging using high-frequency active sonar are studied. All essential components of practical classification systems are incorporated in a Bayesian theoretic framework. The optimum decision rules and array processing are presented and evaluated.
J G, Kelly, R N, Carpenter, J A, Tague
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Active sonar classification using Bayesian decision theory
[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory, 2002Consideration is given to the performance analysis of optimal sonar classification. To perform active classification, a known waveform is transmitted into a medium and directed toward a region called the test volume. An array of N sensors is used to pick up the backscattered signal energy reflected from the M cells of the test volume, and the data are ...
R.N. Carpenter +3 more
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