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Authors
Advisor(s)
Abstract(s)
Ocean Acoustic Tomography is a remote sensing technique that has
been proposed to infer physical properties of the ocean traversed
by the sound field. Although its feasibility has been demonstrated,
it is still not being used in a systematic way due, in a large extent,
to cost and operational difficulties of standard acoustic systems.
Current developments of acoustic systems go in the sense of simplifying
them, both at the emitting and receiving end. Simplifying an
acoustic system may represent a loss or a reduction of the amount
of information contained in the observed acoustic field, possibly
conducting to degradation in the inversion results. The objective
of this thesis is to adapt existing array processing methods to be
used in acoustic tomography and geoacoustic inversion taking into
account the challenges posed by such simplifications, and to cope
with the loss of available information they may represent. Two aspects
are exploited with the objective of coping with the reduction
of information: one is the development of a broadband data model,
and the other is the development of matched-field processors based
on that broadband data model, with particular emphasis in highresolution
processors. Matched-field based approaches appear to
be suitable to work in conjunction with the simplified acoustic systems
used to collect several experimental data sets treated herein.
Experimental results using simplified acoustic systems, sparse receiving
arrays (active mode) on one hand, or an uncontrolled source
(passive mode) on the other hand, show that it is possible to produce
environmental estimates of the watercolumn and seafloor in
close agreement with ground truth measurements.
Description
Tese dout., Engenharia Electrónica e Computação, Universidade do Algarve, 2007
Keywords
Teses Processamento de sinal Tomografia acústica Oceanos