Iterative maximum-likelihood/cross correlation algorithms for echo and pulse time of arrival estimation.

Persistent Link:
http://hdl.handle.net/10150/187476
Title:
Iterative maximum-likelihood/cross correlation algorithms for echo and pulse time of arrival estimation.
Author:
Doser, Adele Beatrice.
Issue Date:
1996
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
For this work, two iterative methods were developed which combine a parametric channel model with the maximum likelihood and cross-correlation estimation techniques in order to estimate the pulse shapes and multiple times of arrival associated with an echo generated when a known pulse encounters a target of unknown impulse response. The modeled echo was assumed to have a generalized form, i.e., it was more complex than a linear combination of delayed and scaled versions of the transmitted pulse. In the short-pulse-duration algorithm developed here, it was assumed that individual events present in the echo did not overlap. For the case of the long-pulse-duration method, this assumption was removed. The techniques were tested using experimental data simulating the targets of a rigid acoustic sphere and dielectric slab, and compared with results obtained from using other methods currently available in the literature. Experimental results demonstrated that the algorithms were successful in determining the proper time delays of the echo events for a variety of received signal-to-noise ratios (S.N.R.s), and compared favorably with other techniques.
Type:
text; Dissertation-Reproduction (electronic)
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Electrical and Computer Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Delaney, Pamela A.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleIterative maximum-likelihood/cross correlation algorithms for echo and pulse time of arrival estimation.en_US
dc.creatorDoser, Adele Beatrice.en_US
dc.contributor.authorDoser, Adele Beatrice.en_US
dc.date.issued1996en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractFor this work, two iterative methods were developed which combine a parametric channel model with the maximum likelihood and cross-correlation estimation techniques in order to estimate the pulse shapes and multiple times of arrival associated with an echo generated when a known pulse encounters a target of unknown impulse response. The modeled echo was assumed to have a generalized form, i.e., it was more complex than a linear combination of delayed and scaled versions of the transmitted pulse. In the short-pulse-duration algorithm developed here, it was assumed that individual events present in the echo did not overlap. For the case of the long-pulse-duration method, this assumption was removed. The techniques were tested using experimental data simulating the targets of a rigid acoustic sphere and dielectric slab, and compared with results obtained from using other methods currently available in the literature. Experimental results demonstrated that the algorithms were successful in determining the proper time delays of the echo events for a variety of received signal-to-noise ratios (S.N.R.s), and compared favorably with other techniques.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairDelaney, Pamela A.en_US
dc.contributor.committeememberDudley, Donald G.en_US
dc.contributor.committeememberSchooley, Larry C.en_US
dc.contributor.committeememberMarcellin, Michael W.en_US
dc.identifier.proquest9626507en_US
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