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

Inter-node Distance Estimation for S...

Yeakle, Riley.

Linked to FindBook

Google Book

Amazon

博客來

Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise./
Author:	Yeakle, Riley.
Description:	57 p.
Notes:	Source: Masters Abstracts International, Volume: 55-05.
Contained By:	Masters Abstracts International55-05(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10137883
ISBN:	9781339934945

Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise.
Yeakle, Riley.

Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise. - 57 p.

Source: Masters Abstracts International, Volume: 55-05.

Thesis (M.S.)--University of California, San Diego, 2016.

As the number of units in underwater sensor arrays grow, low-cost localization becomes increasingly important to maintain network scalability. Methods using ambient ocean noise are promising solutions because they do not require external infrastructure, nor expensive on-board sensors. Here we extend past work in stationary array element localization from correlations of ambient noise to a mobile sensor array. After obtaining inter-node distance estimates using ambient noise correlations, these distances can be used to determine a relative localization of an array of mobile underwater sensor platforms without introducing any external infrastructure or on-board localization sensors.

ISBN: 9781339934945Subjects--Topical Terms:

649834
Electrical engineering.

Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise.
LDR:02627nmm a2200301 4500 001 2077316
005 20161114130251.5
008 170521s2016 ||||||||||||||||| ||eng d
020 $a 9781339934945
035 $a (MiAaPQ)AAI10137883
035 $a AAI10137883
040 $a MiAaPQ $c MiAaPQ
100 1 $a Yeakle, Riley. $3 3192816
245 1 0 $a Inter-node Distance Estimation for Subsurface Drifting Hydrophones Using Ambient Acoustic Noise.
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 55-05.
500 $a Adviser: Ryan C. Kastner.
502 $a Thesis (M.S.)--University of California, San Diego, 2016.
520 $a As the number of units in underwater sensor arrays grow, low-cost localization becomes increasingly important to maintain network scalability. Methods using ambient ocean noise are promising solutions because they do not require external infrastructure, nor expensive on-board sensors. Here we extend past work in stationary array element localization from correlations of ambient noise to a mobile sensor array. After obtaining inter-node distance estimates using ambient noise correlations, these distances can be used to determine a relative localization of an array of mobile underwater sensor platforms without introducing any external infrastructure or on-board localization sensors.
520 $a In this work we explore the effects of receiver mobility on inter-node distance estimation via correlations of ambient acoustic noise. Through analysis and simulation, we develop an exact solution along with a more tractable approximation to the peak amplitude of the time-domain Green's function between the two mobile receivers, which provides an estimate of their spatial separation. Here we demonstrate that the mobile noise correlation amplitude at the average time delay between the receivers can be modeled with the wideband ambiguity function of a single sound source. We then use this approximation to discuss selection of design parameters and their effects on the noise correlation function.
520 $a This work acts as a piece in the larger problem of infrastructure-free localization for mobile underwater sensor networks. Combining a relative localization from this method with the absolute positions of several units could provide an absolute localization of an entire array, without the need for external infrastructure.
590 $a School code: 0033.
650 4 $a Electrical engineering. $3 649834
650 4 $a Acoustics. $3 879105
690 $a 0544
690 $a 0986
710 2 $a University of California, San Diego. $b Electrical Engineering (Intelsys, Robotics and Cont). $3 1044063
773 0 $t Masters Abstracts International $g 55-05(E).
790 $a 0033
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10137883