• DocumentCode
    1824618
  • Title

    Maximum-likelihood estimation and detection for moving sources in waveguides

  • Author

    Golden, Stuart

  • Author_Institution
    Orincon Corp., San Diego, CA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    849
  • Abstract
    In this paper, we examine the problem of direction finding and detection of a moving source in a waveguide. Specifically, we are concerned with detecting a wide-band low signal power source moving through the ocean. Further, we desire an algorithm that is resistant to strong interferers (e.g. surface ships) that may also be moving within or on the boundary of the waveguide. The physical model that is given in this paper was derived from moving (constant velocity) sources traveling through a waveguide. The result can be considered to be a generalization of a result derived by Hawker (1979). The amplitude of the source signals and the variance of the noise are taken as unknown deterministic quantities. To determine the parameter estimates for the purpose of localization and detection, we use the maximum-likelihood (ML) estimation algorithm. For the detection algorithm, we use the generalized likelihood ratio test (GLRT).
  • Keywords
    array signal processing; direction-of-arrival estimation; maximum likelihood detection; maximum likelihood estimation; military systems; sonar arrays; sonar detection; sonar signal processing; GLRT; amplitude; deterministic quantities; direction finding; generalized likelihood ratio test; maximum-likelihood estimation; moving sources; ocean; parameter estimates; source signals; waveguides; wide-band low signal power source; Detection algorithms; Marine vehicles; Maximum likelihood detection; Maximum likelihood estimation; Noise level; Oceans; Parameter estimation; Sea surface; Surface waves; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.831830
  • Filename
    831830