Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance analysis of model-based localization of high-frequency acoustic sources in 3D
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
2013 (English)In: OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension, 2013Conference paper, Published paper (Refereed)
Abstract [en]

A robust model-based source localization (MBSL) scheme for 3D positioning of high-frequency underwater acoustic (UWA) transmitters, as well as performance assessment of 3D speed vector estimation of the acoustic source, deploying two linear receiver arrays, is developed and evaluated. In addition, this paper presents the sensitivity evaluation of MBSL to uncertainties involved in environmental parameters, including the effects of sound speed profile and bathymetry mismatches. The results presented here pertain to the general framework of inferring side information concerning an UWA link from the environmental signature imprinted on waveforms by the propagation medium. The presented algorithms directly operate on estimated linear time-varying UWA channel responses, represented as 3-dimensional delay-Doppler-depth functions (DDDF). Estimation of DDDF coefficients is achieved jointly for all receivers deployed at different depths using Basis-Pursuit (BP) tools, which can efficiently handle sparse unconstrained ℓ2 - ℓ1 minimization, and directly operate on the complex signals of baseband models. To extract delay/Doppler information related to each path from the DDDF representation, an efficient energy-based scheme is developed to detect and label wavefronts using clustering techniques inspired by image processing.

Place, publisher, year, edition, pages
2013.
Series
OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension
Keyword [en]
Clustering techniques, Environmental parameter, Linear time varying, Performance analysis, Performance assessment, Sensitivity evaluation, Sound speed profiles, Source localization, Frequency estimation, Image processing, Underwater acoustics, Three dimensional
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-140002DOI: 10.1109/OCEANS-Bergen.2013.6608105Scopus ID: 2-s2.0-84886439777ISBN: 9781479900015 (print)OAI: oai:DiVA.org:kth-140002DiVA: diva2:688609
Conference
OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension; Bergen, Norway, 10-13 June 2013
Note

QC 20140117

Available from: 2014-01-17 Created: 2014-01-16 Last updated: 2014-01-22Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Karasalo, Ilkka
By organisation
Aeronautical and Vehicle Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf