• DocumentCode
    3424745
  • Title

    Threshold region performance of deterministic maximum likelihood DOA estimation of multiple sources

  • Author

    Athley, Fredrik

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    2
  • fYear
    2002
  • fDate
    3-6 Nov. 2002
  • Firstpage
    1283
  • Abstract
    This paper presents an analysis of the threshold region performance of deterministic maximum likelihood direction of arrival estimation using sensor arrays. The threshold effect is caused by outliers and thus is not captured by standard analysis tools such as the Cramer-Rao bound and Taylor expansions, since these are local in nature. The work presented provides a global analysis that can be used to predict the threshold region performance of the maximum likelihood estimator with high accuracy. It extends previous results from the author on the single source to the multiple sources case.
  • Keywords
    Gaussian noise; Monte Carlo methods; array signal processing; direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; probability; white noise; Cramer-Rao bound; MSE approximation; Monte Carlo simulations; Taylor expansions; analysis tools; deterministic maximum likelihood DOA estimation; direction of arrival estimation; global analysis; maximum likelihood estimator; multiple sources; outlier probability; sensor arrays; threshold region performance; white Gaussian noise; Direction of arrival estimation; Estimation error; Maximum likelihood estimation; Performance analysis; Predictive models; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Signal analysis; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7576-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.2002.1196987
  • Filename
    1196987