Efficient Bayesian multi-source localization using a graphical processing unit
This paper presents a highly-efficient approach to matched-field localization of an unknown number of ocean acoustic sources employing a graphics processing unit (GPU) for massively parallel computations. A Bayesian formulation is developed in which the number, locations, and complex spectra (amplitudes and phases) of multiple sources, as well as noise variance at each frequency, are considered unknown random variables constrained by acoustic data and prior information. The number of sources is...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of Meetings on Acoustics|
|01_Dosso_Efficient_Bayesian_2013.pdf||154.4 kB||Adobe PDF||Request a copy|
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