Title :
Broadband particle filtering in a noisy littoral ocean
Author_Institution :
Lawrence Livermore National Laboratory, Livermore, CA 94551
fDate :
5/1/2015 12:00:00 AM
Abstract :
When sound propagates in the shallow ocean, source characteristics complicate the analysis of received acoustic data considerably especially when they are broadband and spatially complex. Noise whether ambient, distant shipping, wind blown surface generated complicates this already chaotic environment even further primarily because these disturbances propagate through the same inherent oceanic medium. The broadband problem can be decomposed into a set of narrowband problems by decomposing the source spectrum into its set of narrowband lines. A generic Bayesian solution to the broadband pressure-field enhancement and modal function extraction problem is developed that leads to a so-called nonparametric estimate of the desired posterior distribution enabling statistical inference.
Keywords :
"Broadband communication","Oceans","Bayes methods","Noise","Mathematical model","Narrowband","Stochastic processes"
Conference_Titel :
OCEANS 2015 - Genova
DOI :
10.1109/OCEANS-Genova.2015.7271246