• DocumentCode
    2016992
  • Title

    Adaptive filtering in underwater tracking with correlated measurement noise

  • Author

    Graham, Marcus L. ; O´Brien, Frank ; Gong, Kai F. ; Hammel, Sherry E.

  • Author_Institution
    US Naval Undersea Warfare Center Div., Newport, RI, USA
  • Volume
    1
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    285
  • Abstract
    The authors describe a multistage, hierarchical adaptive filtering technique derived for a complex, real-time nonlinear state estimation problem where the measurement noise is markedly non-Gaussian. The relative efficiency of the derived mathematical model was demonstrated through a Monte Carlo simulation experiment employing noisy angle-of-arrival measurements for undersea tracking.<>
  • Keywords
    Monte Carlo methods; State estimation; adaptive filters; hierarchical systems; real-time systems; simulation; state estimation; tracking; underwater sound; Monte Carlo simulation; correlated measurement noise; hierarchical adaptive filtering technique; mathematical model; real-time nonlinear state estimation problem; relative efficiency; underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319111
  • Filename
    319111
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2016992