國立高雄大學圖資館 |

Language: English

Back to Search results for [ subject:"Ocean engineering." ]

Performance Metrics for Depth-based ...

Boyle, John K.

Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays.
Author:	Boyle, John K.
Description:	53 p.
Notes:	Source: Masters Abstracts International, Volume: 54-04.
Notes:	Adviser: T Martin Siderius.
Contained By:	Masters Abstracts International54-04(E).
Subject:	Acoustics.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1585801
ISBN:	9781321651645

Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays.
Boyle, John K.

Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays. - 53 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--Portland State University, 2015.

Vertical line arrays (VLAs) deployed below the critical depth in the deep ocean can exploit reliable acoustic path (RAP) propagation, which provides low transmission loss (TL) for targets at moderate ranges, and increased TL for distant interferers. However, sound from nearby surface interferers also undergoes RAP propagation, and without horizontal aperture, a VLA cannot separate these interferers from submerged targets. A recent publication by McCargar and Zurk (2013) addressed this issue, presenting a transform-based method for passive, depth-based separation of signals received on deep VLAs based on the depth-dependent modulation caused by the interference between the direct and surface-reflected acoustic arrivals. This thesis expands on that work by quantifying the transform-based depth estimation method performance in terms of the resolution and ambiguity in the depth estimate. Then, the depth discrimination performance is quantified in terms of the number of VLA elements.

ISBN: 9781321651645Subjects--Topical Terms:

242702
Acoustics.

Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays.
LDR:01872nmm a2200289 4500 001 476004
005 20160418090137.5
008 160517s2015 ||||||||||||||||| ||eng d
020 $a 9781321651645
035 $a (MiAaPQ)AAI1585801
035 $a AAI1585801
040 $a MiAaPQ $c MiAaPQ
100 1 $a Boyle, John K. $3 730217
245 1 0 $a Performance Metrics for Depth-based Signal Separation Using Deep Vertical Line Arrays.
300 $a 53 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: T Martin Siderius.
502 $a Thesis (M.S.)--Portland State University, 2015.
520 $a Vertical line arrays (VLAs) deployed below the critical depth in the deep ocean can exploit reliable acoustic path (RAP) propagation, which provides low transmission loss (TL) for targets at moderate ranges, and increased TL for distant interferers. However, sound from nearby surface interferers also undergoes RAP propagation, and without horizontal aperture, a VLA cannot separate these interferers from submerged targets. A recent publication by McCargar and Zurk (2013) addressed this issue, presenting a transform-based method for passive, depth-based separation of signals received on deep VLAs based on the depth-dependent modulation caused by the interference between the direct and surface-reflected acoustic arrivals. This thesis expands on that work by quantifying the transform-based depth estimation method performance in terms of the resolution and ambiguity in the depth estimate. Then, the depth discrimination performance is quantified in terms of the number of VLA elements.
590 $a School code: 0180.
650 4 $a Acoustics. $3 242702
650 4 $a Ocean engineering. $3 575501
650 4 $a Electrical engineering. $3 454503
690 $a 0986
690 $a 0547
690 $a 0544
710 2 $a Portland State University. $b Electrical and Computer Engineering. $3 531051
773 0 $t Masters Abstracts International $g 54-04(E).
790 $a 0180
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1585801