• DocumentCode
    3636226
  • Title

    A closed-form pseudolinear estimator for geolocation of scanning emitters

  • Author

    Kutluyil Doğançay

  • Author_Institution
    University of South Australia, School of Electrical and Information Engineering, Mawson Lakes, 5095, Australia
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    3546
  • Lastpage
    3549
  • Abstract
    A closed-form solution for scanning emitter localization has been available for the case of three sensors. For more than three sensors the traditional approach is to employ the maximum likelihood estimator, which is a nonlinear estimator with no closed-form solution. This paper develops a new closed-form pseudolinear estimator for passive localization of scanning emitters for four or more sensors. The proposed estimator achieves localization performance on par with the maximum likelihood estimator at a much reduced complexity and free from stability problems that plague iterative numerical methods for finding the maximum likelihood estimate. The new estimator is based on a modification of the pseudolinear estimator for bearings-only localization. The superior performance of the developed estimator is illustrated with numerical examples.
  • Keywords
    "Maximum likelihood detection","Maximum likelihood estimation","Radar","Closed-form solution","Time difference of arrival","Time measurement","Synchronization","Clocks","Noise measurement","Lakes"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495942
  • Filename
    5495942