Generalized DOA and source number estimation techniques for acoustics and radar
<p>The purpose of this thesis is to emphasize the lacking areas in the field of direction of arrival estimation and to propose building blocks for continued solution development in the area. A review of current methods are discussed and their pitfalls are emphasized. DOA estimators are compare...
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ndltd-MSSTATE-oai-library.msstate.edu-etd-03222018-1640582019-05-15T18:44:02Z Generalized DOA and source number estimation techniques for acoustics and radar Gorman, Emily Erin Electrical and Computer Engineering <p>The purpose of this thesis is to emphasize the lacking areas in the field of direction of arrival estimation and to propose building blocks for continued solution development in the area. A review of current methods are discussed and their pitfalls are emphasized. DOA estimators are compared to each other for usage on a conformal microphone array which receives impulsive, wideband signals. Further, many DOA estimators rely on the number of source signals prior to DOA estimation. Though techniques exist to achieve this, they lack robustness to estimate for certain signal types, particularly in the case where multiple radar targets exist in the same range bin. A deep neural network approach is proposed and evaluated for this particular case. The studies detailed in this thesis are specific to acoustic and radar applications for DOA estimation.</p> Bo Tang Anton Netchaev John Ball MSSTATE 2018-05-07 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222018-164058/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222018-164058/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report. |
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Electrical and Computer Engineering |
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Electrical and Computer Engineering Gorman, Emily Erin Generalized DOA and source number estimation techniques for acoustics and radar |
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<p>The purpose of this thesis is to emphasize the lacking areas in the field of direction of arrival estimation and to propose building blocks for continued solution development in the area. A review of current methods are discussed and their pitfalls are emphasized. DOA estimators are compared to each other for usage on a conformal microphone array which receives impulsive, wideband signals. Further, many DOA estimators rely on the number of source signals prior to DOA estimation. Though techniques exist to achieve this, they lack robustness to estimate for certain signal types, particularly in the case where multiple radar targets exist in the same range bin. A deep neural network approach is proposed and evaluated for this particular case. The studies detailed in this thesis are specific to acoustic and radar applications for DOA estimation.</p> |
author2 |
Bo Tang |
author_facet |
Bo Tang Gorman, Emily Erin |
author |
Gorman, Emily Erin |
author_sort |
Gorman, Emily Erin |
title |
Generalized DOA and source number estimation techniques for acoustics and radar |
title_short |
Generalized DOA and source number estimation techniques for acoustics and radar |
title_full |
Generalized DOA and source number estimation techniques for acoustics and radar |
title_fullStr |
Generalized DOA and source number estimation techniques for acoustics and radar |
title_full_unstemmed |
Generalized DOA and source number estimation techniques for acoustics and radar |
title_sort |
generalized doa and source number estimation techniques for acoustics and radar |
publisher |
MSSTATE |
publishDate |
2018 |
url |
http://sun.library.msstate.edu/ETD-db/theses/available/etd-03222018-164058/ |
work_keys_str_mv |
AT gormanemilyerin generalizeddoaandsourcenumberestimationtechniquesforacousticsandradar |
_version_ |
1719086058247815168 |