• DocumentCode
    2286210
  • Title

    Source Tracking with Multiple-Forgetting-Factor RLS Using a Vector-Hydrophone Away From or Near a Reflecting Boundary

  • Author

    Wong, Kainam Thomas ; Awad, Mohamad Khattar

  • Author_Institution
    Waterloo Univ., Waterloo
  • fYear
    2007
  • fDate
    16-19 May 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A vector-hydrophone (a.k.a. acoustic vector-sensor) is composed of two or three spatially collocated but orthogonally oriented velocity-hydrophones, possibly plus a collocated pressure-hydrophone. A vector-hydrophone may form azimuth-elevation spatial beams that are invariant with respect to the sources´ frequencies, bandwidths and radial locations (i.e., in near field as opposed to the far field). This paper adopts a multiple-forgetting-factor recursive-least-squares (RLS) adaptive algorithm to a single vector-hydrophone for source tracking, without needing any prior knowledge of the source power and/or the noise powers.
  • Keywords
    hydrophones; least squares approximations; maximum likelihood estimation; target tracking; underwater sound; Multiple-Forgetting-Factor; RLS adaptive algorithm; recursive-least-squares; source tracking; underwater acoustics; vector-hydrophone technique; Acoustic measurements; Acoustical engineering; Bandwidth; Frequency; Marine vehicles; Pressure measurement; Resonance light scattering; Sea measurements; Sonar equipment; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2006 - Asia Pacific
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0137-6
  • Electronic_ISBN
    978-1-4244-0138-3
  • Type

    conf

  • DOI
    10.1109/OCEANSAP.2006.4393830
  • Filename
    4393830