Bayesian localization of multiple ocean acoustic sources with environmental uncertainties

  • Stan E. Dosso School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada
  • Michael J. Wilmut School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada
Keywords: Acoustics, Acoustic data, Bayesian formulation, Closed form, Environmental parameter, Environmental uncertainty, Multi-modal, Multiple acoustic sources, Multiple source, Noise statistics, Noise variance, Ocean acoustics, Ocean environment, Prior information, Source strength

Abstract

The article considers simultaneous localization of multiple acoustic sources when properties of the ocean environment. A Bayesian formulation is applied in which the environmental parameters, noise statistics, and locations and complex strengths of multiple sources are considered unknown random variables constrained by acoustic data and prior information. Closed-form maximum-likelihood expressions for source strengths and noise variance at each frequency allow these parameters to be sampled implicitly, substantially reducing the dimensionality and difficulty of the inversion. All sources are successfully localized, with the greatest uncertainty for the weak submerged source for which the marginal density is strongly multi-modal.
Published
2011-09-01
How to Cite
1.
Dosso SE, Wilmut MJ. Bayesian localization of multiple ocean acoustic sources with environmental uncertainties. Canadian Acoustics [Internet]. 2011Sep.1 [cited 2019Aug.19];39(3):206-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/2483
Section
Proceedings of the Acoustics Week in Canada