東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimal Passive Sonar Signal Process...

Young, Andrew.

Linked to FindBook

Google Book

Amazon

博客來

Optimal Passive Sonar Signal Processing Using the Waveguide Invariant.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal Passive Sonar Signal Processing Using the Waveguide Invariant./
Author:	Young, Andrew.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	125 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:	Dissertations Abstracts International80-12B.
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13808887
ISBN:	9781392195871

Optimal Passive Sonar Signal Processing Using the Waveguide Invariant.
Young, Andrew.

Optimal Passive Sonar Signal Processing Using the Waveguide Invariant. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 125 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--Duke University, 2019.

This item must not be sold to any third party vendors.

This dissertation presents optimal signal processing methods and performance analysis for passive, waveguide invariant (WI)-based acoustic source range estimation in shallow water marine environments. The WI, commonly denoted by β, characterizes the range- and frequency-varying channel fading pattern that can be observed in the time-frequency spectrum of hydrophone data. The structure of the fading pattern is governed by the physics of ducted acoustic propagation and can be exploited to estimate source range using a variety of methods; this work focuses on model-based, single-hydrophone techniques for both narrowband (tonal) as well as broadband sources.Maximum likelihood (ML) estimators are presented for both β and source range for the case of tonal sources. Estimator performance is analyzed for various signal-to-noise ratios (SNRs) and numbers of tones processed in both Pekeris and complex environments using the KRAKEN normal mode program. Acoustic data from the SWellEx-96 experiment is analyzed, and source range is estimated with root-mean-square error (RMSE) under 3% of source range using knowledge of β for the local environment and 6% using an estimate β obtained from an area several kilometers away.The Cram´er-Rao lower bound (CRLB) on achievable variance of unbiased range and β estimates is derived for the case of a broadband source in an ideal waveguide and is seen to exhibit similar trends as the performance curves for the ML estimators derived for tonal sources. Additionally, an example is provided showing how the framework for derivation of the bounds can be extended to a complex environment modeled after the SWellEx-96 experiment.Receiver localization can be performed by combining the time-varying WI-based range estimates with knowledge of the source track, and this has a potentially significant application to autonomous underwater vehicle (AUV) navigation. To this end, three receiver localization methods are presented that use either the Doppler effect, WI-based range estimates, or both. Results from Monte Carlo simulations as well as from processing experimental data demonstrate the potential to localize AUVs with an error on the order of a few hundred meters under realistic assumptions regarding source and environmental parameters.

ISBN: 9781392195871Subjects--Topical Terms:

649834
Electrical engineering.

Optimal Passive Sonar Signal Processing Using the Waveguide Invariant.
LDR:03367nmm a2200337 4500 001 2262989
005 20191121113954.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781392195871
035 $a (MiAaPQ)AAI13808887
035 $a (MiAaPQ)duke:15106
035 $a AAI13808887
040 $a MiAaPQ $c MiAaPQ
100 1 $a Young, Andrew. $3 3427824
245 1 0 $a Optimal Passive Sonar Signal Processing Using the Waveguide Invariant.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 125 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Krolik, Jeffrey.
502 $a Thesis (Ph.D.)--Duke University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a This dissertation presents optimal signal processing methods and performance analysis for passive, waveguide invariant (WI)-based acoustic source range estimation in shallow water marine environments. The WI, commonly denoted by β, characterizes the range- and frequency-varying channel fading pattern that can be observed in the time-frequency spectrum of hydrophone data. The structure of the fading pattern is governed by the physics of ducted acoustic propagation and can be exploited to estimate source range using a variety of methods; this work focuses on model-based, single-hydrophone techniques for both narrowband (tonal) as well as broadband sources.Maximum likelihood (ML) estimators are presented for both β and source range for the case of tonal sources. Estimator performance is analyzed for various signal-to-noise ratios (SNRs) and numbers of tones processed in both Pekeris and complex environments using the KRAKEN normal mode program. Acoustic data from the SWellEx-96 experiment is analyzed, and source range is estimated with root-mean-square error (RMSE) under 3% of source range using knowledge of β for the local environment and 6% using an estimate β obtained from an area several kilometers away.The Cram´er-Rao lower bound (CRLB) on achievable variance of unbiased range and β estimates is derived for the case of a broadband source in an ideal waveguide and is seen to exhibit similar trends as the performance curves for the ML estimators derived for tonal sources. Additionally, an example is provided showing how the framework for derivation of the bounds can be extended to a complex environment modeled after the SWellEx-96 experiment.Receiver localization can be performed by combining the time-varying WI-based range estimates with knowledge of the source track, and this has a potentially significant application to autonomous underwater vehicle (AUV) navigation. To this end, three receiver localization methods are presented that use either the Doppler effect, WI-based range estimates, or both. Results from Monte Carlo simulations as well as from processing experimental data demonstrate the potential to localize AUVs with an error on the order of a few hundred meters under realistic assumptions regarding source and environmental parameters.
590 $a School code: 0066.
650 4 $a Electrical engineering. $3 649834
650 4 $a Ocean engineering. $3 660731
650 4 $a Acoustics. $3 879105
690 $a 0544
690 $a 0547
690 $a 0986
710 2 $a Duke University. $b Electrical and Computer Engineering. $3 1032075
773 0 $t Dissertations Abstracts International $g 80-12B.
790 $a 0066
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13808887