• DocumentCode
    549094
  • Title

    Target positioning and tracking in degenerate geometry

  • Author

    Yang, Chun ; Kaplan, Lance ; Blasch, Erik ; Bakich, Michael

  • Author_Institution
    Sigtem Technol., Inc., San Mateo, CA, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper analyzes the effects of special target-sensor geometries, particularly, some degenerate cases (near singular observation matrix), on the performance of target positioning and tracking. A scenario of practical significance is when two or more sensors form nearly parallel line of sight (LOS) vectors to targets. Examples include netted radars that happen to line up their observations in azimuth. Such encounter geometry is degenerate for conventional methods. In this paper, we first analyze conventional estimates in such degenerate geometry and then describe three adapted methods, namely, a geometric 1D solution for 2D scenarios, a reduced-order least squares method, and a subspace least squares method. Simulation results are presented to compare the methods. The analysis provides the basis for active sensor management performance prediction and optimization via sensor placement/ assignment.
  • Keywords
    least squares approximations; matrix algebra; radar tracking; sensor placement; target tracking; active sensor management performance prediction; netted radars; reduced-order least square method; sensor assignment; sensor placement; singular observation matrix; subspace least squares method; target positioning; target tracking; target-sensor geometry; Geometry; Least squares methods; Matrix decomposition; Maximum likelihood estimation; Noise; Sensors; Target tracking; Active sensor management; Degenerate geometry; Performance prediction; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977529