• DocumentCode
    3381411
  • Title

    An approximate maximum likelihood method for estimation of direction of arrival parameters

  • Author

    Satish, A. ; Kashyap, R.L.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1992
  • fDate
    7-9 Oct 1992
  • Firstpage
    342
  • Lastpage
    345
  • Abstract
    The estimation of DOA and associated signal parameters from the observations received by isotropic sensors in additive noise medium is considered. The DOAs and signal parameters to be estimated are functions of number of snapshots (N), number of sensors(M), signal-to-noise ratio (SNR), separation, φd and correlation between the sources, ϑ. Different criterion functions for low and for high SNR are obtained by suitable approximations choosing relevant terms depending upon the nature of the parameters. In the first step, expressions are derived for the estimates of the signal power (spectral density in the wideband instance) and noise power. In step two, these are used to estimate the DOA angles. Simulation results for narrowband signals show the performance of the proposed method. The estimation approach could be extended for wideband signals
  • Keywords
    array signal processing; maximum likelihood estimation; parameter estimation; DOA estimation; additive noise; approximate maximum likelihood method; criterion functions; direction of arrival; isotropic sensors; narrowband signals; parameter estimation; performance; signal parameters; spectral density; wideband signals; Additive noise; Direction of arrival estimation; Gaussian noise; Maximum likelihood estimation; Narrowband; Parameter estimation; Signal to noise ratio; Stochastic processes; Wideband; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0508-6
  • Type

    conf

  • DOI
    10.1109/SSAP.1992.246780
  • Filename
    246780