• DocumentCode
    177943
  • Title

    Weighted stansfield algorithm in three dimensions

  • Author

    Adib, Neda ; Douglas, Scott C.

  • Author_Institution
    Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    1409
  • Lastpage
    1413
  • Abstract
    In bearings-only geolocation, strategies that accurately combine both azimuth and elevation information for three-dimensional position estimation are required. This paper introduces a novel bearings-only geolocation algorithm, the Weighted Stansfield Algorithm in Three Dimensions (WS3D). This procedure uses a linearized approximation to the maximum likelihood cost for both the azimuth and elevation measurements, and uses both the bearing accuracies and estimates of the range to emitter in the zero-elevation geometric plane to minimize this cost in pair of least-squares procedures. Simulations of the new algorithm show that range and bearing accuracy weighting is important to obtain best performance. The algorithm also asymptotically outperforms a recently-derived instrumental variable (IV) algorithm for 3D geolocation designed to remove bias effects.
  • Keywords
    direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; position measurement; azimuth information; azimuth measurements; bearings-only geolocation algorithm; elevation information; elevation measurements; instrumental variable algorithm; least-squares procedures; linearized approximation; maximum likelihood; three-dimensional position estimation; weighted Stansfield algorithm; Accuracy; Approximation algorithms; Azimuth; Geology; Maximum likelihood estimation; Signal processing algorithms; antenna arrays; azimuth; direction-of-arrival estimation; maximum likelihood estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853829
  • Filename
    6853829