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dc.contributor.authorAndreassen, Kristoffer Engedal
dc.contributor.authorHjelmervik, Karl Thomas
dc.date.accessioned2023-02-20T10:11:57Z
dc.date.available2023-02-20T10:11:57Z
dc.date.created2022-09-12T11:23:14Z
dc.date.issued2022
dc.identifier.citationAndreassen, K. E. & Hjelmervik, K. T. (2022). Modelled sonar and target depth distributions for active sonar operations in realistic environments. Proceedings of Meetings on Acoustics, 47(1), Artikkel 070013.en_US
dc.identifier.issn1939-800X
dc.identifier.urihttps://hdl.handle.net/11250/3052269
dc.description.abstractTarget detection performance of mid-frequency active sonars depends heavily on both sonar and target depth. For a given target depth, a sonar performance model may help predict a sonar depth that maximizes the detection performance in the present environment. Similarly, for a given sonar depth, an optimal target depth to minimize the detection performance of the opposing sonar, may be predicted. Statistical representations of sonar and target behavior are required as prerequisites for Monte Carlo simulations, in which sonar and target depth are key parameters. In a real sonar operation, the choice of each depth parameter is subject to careful consideration of the current environment by qualified personnel. The a priori probability distributions from which the Monte Carlo method samples sonar and target depth therefore require sufficient realism to ensure the quality of the simulations. Here we propose an algorithm for generating distributions of sonar depth and the depth of an adversarial target in a realistic environment, based on calculating the Nash equilibrium strategies of the two parties, with the inputted probability of detection modelled by an acoustic ray tracer, Lybin. We demonstrate the proposed method in a sample environment and show the superior performance when compared to simpler distributions.en_US
dc.language.isoengen_US
dc.titleModelled sonar and target depth distributions for active sonar operations in realistic environmentsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 Acoustical Society of America.en_US
dc.source.pagenumber9en_US
dc.source.volume47en_US
dc.source.journalProceedings of Meetings on Acoustics (POMA)en_US
dc.source.issue1en_US
dc.identifier.doihttps://doi.org/10.1121/2.0001610
dc.identifier.cristin2050701
dc.source.articlenumber070013en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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