72. LOCALIZATION OF A MOBILE UNDERWATER SENSORS USING AMBIENT ACOUSTIC NOISE

Department: Computer Science & Engineering
Faculty Advisor(s): Ryan Kastner

Primary Student
Name: Perry W Naughton
Email: pnaughto@ucsd.edu
Phone: 805-733-4850
Grad Year: 2018

Abstract
Underwater localization typically requires an active source - either the vehicle measures the return of a signal that it generates (e.g., sonar or doppler velocity logger), or it receives a signal from other infrastructure (e.g., acoustic positioning). These localization techniques suffer from being expensive, power hungry, and/or limit the range of the vehicle. Localization using signals natural to the ocean would provide a localization modality that enables surveys that have more endurance, are more affordable, and are unrestricted in the space they can explore. Proposed is a method that takes advantage of the acoustic properties of ambient ocean noise to derive localization information post facto. We demonstrate these techniques using neutrally buoyant subsurface floats that drifted with the currents off of the coast of San Diego.

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