Modelling and signal processing for identification of ocean subsurface features from acoustic reflections

This thesis is concerned with aspects of modeling and signal processing for identifying features of the ocean subsurface layered media on the basis of acoustic reflection data. Techniques from communications and signal analysis are combined with estimation and system theory to develop procedures to...

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Main Author: El-Hawary, Ferial M.
Format: Thesis
Language:English
Published: Memorial University of Newfoundland 1981
Subjects:
Online Access:https://research.library.mun.ca/5356/
https://research.library.mun.ca/5356/1/El-Hawary_FerialM.pdf
https://research.library.mun.ca/5356/2/El-Hawary_FerialM.pdf
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spelling ftmemorialuniv:oai:research.library.mun.ca:5356 2023-10-01T03:57:38+02:00 Modelling and signal processing for identification of ocean subsurface features from acoustic reflections El-Hawary, Ferial M. 1981 application/pdf https://research.library.mun.ca/5356/ https://research.library.mun.ca/5356/1/El-Hawary_FerialM.pdf https://research.library.mun.ca/5356/2/El-Hawary_FerialM.pdf en eng Memorial University of Newfoundland https://research.library.mun.ca/5356/1/El-Hawary_FerialM.pdf https://research.library.mun.ca/5356/2/El-Hawary_FerialM.pdf El-Hawary, Ferial M. <https://research.library.mun.ca/view/creator_az/El-Hawary=3AFerial_M=2E=3A=3A.html> (1981) Modelling and signal processing for identification of ocean subsurface features from acoustic reflections. Doctoral (PhD) thesis, Memorial University of Newfoundland. thesis_license Thesis NonPeerReviewed 1981 ftmemorialuniv 2023-09-03T06:45:17Z This thesis is concerned with aspects of modeling and signal processing for identifying features of the ocean subsurface layered media on the basis of acoustic reflection data. Techniques from communications and signal analysis are combined with estimation and system theory to develop procedures to estimate the properties and characteristics of underwater sediments and layered strata. -- Models of the response of the subsurface to acoustic or seismic source signals are reviewed and classified. A layer indexed reflection model that accounts for higher order reflections in a systematic manner is detailed. This provides the basis for the estimation task. -- Reflection data are generated and acquired using a towed-body system, the so-called "fish", which contains the acoustic source and sensors. The motions of the deep towed system introduce inaccuracies in the reflection data. The fish dynamics exhibit a degree of regularity which is utilized in the design of a Kalman-based filter for estimating the heave effects. The estimates are then used to remove the heave component from the reflection data. -- The problem of estimating amplitude and delay parameters associated with replicas of the source signal primary and multiple reflections imbedded in the return signal is investigated. Three proposed estimation procedures are given. The first adopts a sequential algorithm where the delay parameters are estimated first followed by those of the corresponding amplitudes. A second approach developed in this thesis involves the simultaneous evaluation of all the parameters of interest. The third procedure is based on a balance property inherent in the source signal waveforms. -- The proposed procedures are evaluated utilizing simulated return records to provide a basis for comparing the effectiveness of each. The application of the procedures to actual field data obtained in a sea-trial in outer Placentia Bay, off the coast of Newfoundland is given. Thesis Newfoundland Memorial University of Newfoundland: Research Repository
institution Open Polar
collection Memorial University of Newfoundland: Research Repository
op_collection_id ftmemorialuniv
language English
description This thesis is concerned with aspects of modeling and signal processing for identifying features of the ocean subsurface layered media on the basis of acoustic reflection data. Techniques from communications and signal analysis are combined with estimation and system theory to develop procedures to estimate the properties and characteristics of underwater sediments and layered strata. -- Models of the response of the subsurface to acoustic or seismic source signals are reviewed and classified. A layer indexed reflection model that accounts for higher order reflections in a systematic manner is detailed. This provides the basis for the estimation task. -- Reflection data are generated and acquired using a towed-body system, the so-called "fish", which contains the acoustic source and sensors. The motions of the deep towed system introduce inaccuracies in the reflection data. The fish dynamics exhibit a degree of regularity which is utilized in the design of a Kalman-based filter for estimating the heave effects. The estimates are then used to remove the heave component from the reflection data. -- The problem of estimating amplitude and delay parameters associated with replicas of the source signal primary and multiple reflections imbedded in the return signal is investigated. Three proposed estimation procedures are given. The first adopts a sequential algorithm where the delay parameters are estimated first followed by those of the corresponding amplitudes. A second approach developed in this thesis involves the simultaneous evaluation of all the parameters of interest. The third procedure is based on a balance property inherent in the source signal waveforms. -- The proposed procedures are evaluated utilizing simulated return records to provide a basis for comparing the effectiveness of each. The application of the procedures to actual field data obtained in a sea-trial in outer Placentia Bay, off the coast of Newfoundland is given.
format Thesis
author El-Hawary, Ferial M.
spellingShingle El-Hawary, Ferial M.
Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
author_facet El-Hawary, Ferial M.
author_sort El-Hawary, Ferial M.
title Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
title_short Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
title_full Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
title_fullStr Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
title_full_unstemmed Modelling and signal processing for identification of ocean subsurface features from acoustic reflections
title_sort modelling and signal processing for identification of ocean subsurface features from acoustic reflections
publisher Memorial University of Newfoundland
publishDate 1981
url https://research.library.mun.ca/5356/
https://research.library.mun.ca/5356/1/El-Hawary_FerialM.pdf
https://research.library.mun.ca/5356/2/El-Hawary_FerialM.pdf
genre Newfoundland
genre_facet Newfoundland
op_relation https://research.library.mun.ca/5356/1/El-Hawary_FerialM.pdf
https://research.library.mun.ca/5356/2/El-Hawary_FerialM.pdf
El-Hawary, Ferial M. <https://research.library.mun.ca/view/creator_az/El-Hawary=3AFerial_M=2E=3A=3A.html> (1981) Modelling and signal processing for identification of ocean subsurface features from acoustic reflections. Doctoral (PhD) thesis, Memorial University of Newfoundland.
op_rights thesis_license
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