• DocumentCode
    3161211
  • Title

    Improvements in the estimated time of flight of acoustic signals for AUV localization

  • Author

    Pinheiro, B.C. ; Moreno, U.F. ; de Sousa, J.T.B. ; Rodriguezz, O.C.

  • Author_Institution
    Dept. of Autom. & Syst. (DAS), Fed. Univ. of Santa Catarina, Florianopolis, Brazil
  • fYear
    2013
  • fDate
    10-14 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The problem acoustic localization for autonomous underwater vehicles (AUVs) is discussed in the framework of kernel-based models. The approach consists of improving the measurement of time of fligth of acoustic signals with the help of the Auto-Associative Kernel Regression (AAKR). This makes localization less sensitive to perturbations in the acoustic channel improving the estimation filter convergence. Field tests with vehicle confirmed these claims.
  • Keywords
    acoustic signal processing; autonomous underwater vehicles; regression analysis; AAKR; AUV localization; acoustic channel; acoustic signals; autoassociative kernel regression; autonomous underwater vehicles; estimation filter convergence; field test; kernel-based model; time-of-flight estimation; Acoustic measurements; Acoustics; Estimation; Navigation; Sensors; Time measurement; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS - Bergen, 2013 MTS/IEEE
  • Conference_Location
    Bergen
  • Print_ISBN
    978-1-4799-0000-8
  • Type

    conf

  • DOI
    10.1109/OCEANS-Bergen.2013.6608178
  • Filename
    6608178
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3161211