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Advisor(s)
Abstract(s)
Vector sensors measure the acoustic pressure and the particle velocity components.
This type of sensor has the ability to provide information in both vertical and azimuthal
direction allowing increased directivity. These characteristics have been explored by many
authors and most of the studies on vector sensors found in literature are related to direction
of arrival (DOA) estimation. However, assembled into an array, a Vector Sensor Array (VSA)
improves spatial filtering capabilities and can be used with advantage in other applications
such as geoacoustic inversion. In this paper it will be shown that a reliable estimation of
ocean bottom parameters, such as sediment compressional speed, density and compressional
attenuation, can be obtained using high-frequency signals and a small aperture vertical VSA.
The introduction of particle velocity on matched-field processing (MFP) techniques is going
to be presented. It will be seen how MFP, usually done with acoustic pressure, can be
adapted in order to incorporate the three components of the particle velocity. Comparisons
between several processors based either in individual particle velocity components or using
all the VSA outputs, are made for simulated and experimental data. The quaternion model,
which is founded on hypercomplex algebra, thus more appropriate to represent the 4
dimensional VSA data, is also presented in the MFP context. A novel ray tracing model is
used to generate field replicas that include both the acoustic pressure and the particle
velocity outputs. The data considered herein was acquired by a four element vertical VSA in
the 8-14 kHz band, during the Makai Experiment 2005 sea trial, off Kauai I., Hawaii (USA).
The results shows that, when the particle velocity is included it can significantly increase the
resolution of bottom properties estimation and in some cases a similar result is obtained
using only the vertical component of the particle velocity.
Description
Keywords
Vector sensor Bottom properties estimation Matched-field processing