138. ESTIMATION OF OCEAN WAVE PARAMETERS FROM INTER-DROGUE DISTANCE MEASUREMENTS

Department: Mechanical & Aerospace Engineering
Faculty Advisor(s): Jorge Cortes

Primary Student
Name: Michael Ouimet
Email: miouimet@ucsd.edu
Phone: 860-384-3216
Grad Year: 2014

Abstract
Internal waves, which propagate deep below the ocean surface, are difficult to collect data about from the surface. In this paper, we devise the Parameter Estimation by Zero-Derivative Method algorithm to be run on drogues drifting underwater near a horizontally propagating internal wave's interface that determines the physical parameters that define the internal wave's motion. Because GPS is unavailable below the ocean's surface, our method uses only inter-drogue distance measurements, which are feasible through sonar. In the case of noiseless measurements, the algorithm is able to determine the wave parameters precisely. In the case of additive Gaussian noise, we bound the error in the estimated parameters. We also define a strategy for aggregating multiple independent parameter estimates, which asymptotically minimizes the error variance.

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