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- W2896682064 abstract "Using particle filtering we can track arrival times at spatially separated phones and identify them as distinct paths. This method is very well suited to data collected during the Seabed Characterization Experiment at 16 vertically separated phones of an MPL vertical line array. The source signals are mid-frequency linear frequency modulated pulses. Several paths can be identified in the received time-series including the bottom bounce and sediment reflection. These provide a plethora of information on the seabed properties. We combine the particle filter with a linearization approach that first allows us to resolve the geometry of the experiment. For that we build a Jacobian matrix with time derivatives with respect to the unknown parameters. We proceed with an exhaustive search for sediment parameters such as sound speed and thickness. Probability density functions of arrival times are propagated backwards through the inverse model, providing estimates of densities for the unknown parameters. [Work supported by ONR.]" @default.
- W2896682064 created "2018-10-26" @default.
- W2896682064 creator A5054122321 @default.
- W2896682064 date "2018-09-01" @default.
- W2896682064 modified "2023-09-25" @default.
- W2896682064 title "Sequential filtering and linearization for inversion in the Seabed Characterization Experiment" @default.
- W2896682064 doi "https://doi.org/10.1121/1.5068380" @default.
- W2896682064 hasPublicationYear "2018" @default.
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