RECURSIVE ESTIMATION OF OCEAN WAVE SPECTRA
Daniel Andres Montoya Espinosa
RECURSIVE ESTIMATION OF OCEAN WAVE SPECTRA.
Rel. Giuseppe Giorgi. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2023
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Abstract
This investigation project consist in the emergence of a novel technique for continuous spectrum estimation based on a recursive approach in which the spectrum estimation will be continuously corrected implementing an Extended-Kalman Filter. In order to investigate a bond between the control theory and oceanography, enhancing and modernize the wave spectrum estimation. It was used the Extended-Kalman Filter (EKF) cyclical procedure, after had have analyzed the results. In this path was considered the stochastic behaviour of the ocean based on JONSWAP spectrum and also implementing a linearization to the model that allowed to obtain a narrow band spectra evaluating each frequency at the time on the basis of the contributing to reduce the complexity of the state-space model at the time, because it was used constant frequencies.
It was opted chose the Least-Squares spectral approximation based on JONSWAP spectrum because it would give a formal solution that helped to model a State-space based of on a cascade of two second order filter and considering the basic principles of a stochastic signal processing in order to implement the robust control technique that allowed to correctly predict the JONSWAP spectrum
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