• DocumentCode
    2365141
  • Title

    Hybrid RSS/AOA emitter location estimation based on least squares and maximum likelihood criteria

  • Author

    Wang, Sichun ; Jackson, Brad R. ; Inkol, Robert

  • Author_Institution
    Defence R&D Canada-Ottawa, Ottawa, ON, Canada
  • fYear
    2012
  • fDate
    28-29 May 2012
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    Linear least squares (LS) and maximum likelihood (ML) estimators are derived for emitter geolocation using both received signal strength (RSS) and angle of arrival (AOA) information obtained from an heterogeneous sensor array. The results of simulation experiments provide useful insights into the behavior of these hybrid approaches and demonstrate that the use of simple RSS sensors to augment traditional AOA sensors can significantly improve the attainable geolocation accuracy.
  • Keywords
    direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; angle of arrival information; emitter geolocation; heterogeneous sensor array; hybrid RSS/AOA emitter location estimation; least squares criteria; linear least squares; maximum likelihood criteria; maximum likelihood estimators; received signal strength; Equations; Geology; Least squares approximation; Linear systems; Loss measurement; Maximum likelihood estimation; Standards; Angle of arrival (AOA); hybrid emitter localization; linear least squares estimation; maximum likelihood estimation; received signal strength (RSS); von Mises distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (QBSC), 2012 26th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Print_ISBN
    978-1-4673-1113-7
  • Electronic_ISBN
    978-1-4673-1112-0
  • Type

    conf

  • DOI
    10.1109/QBSC.2012.6221344
  • Filename
    6221344