• DocumentCode
    1287399
  • Title

    Distributed detection with multiple sensors I. Advanced topics

  • Author

    Blum, Rick S. ; Kassam, Saleem A. ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
  • Volume
    85
  • Issue
    1
  • fYear
    1997
  • fDate
    1/1/1997 12:00:00 AM
  • Firstpage
    64
  • Lastpage
    79
  • Abstract
    Following the foundational work that established basic ideas for optimum distributed defection schemes using multiple sensors (as reviewed in Part I of this two-part review), further work on distributed detection has developed many useful and interesting extensions of the basic concepts. These more recent developments parallel those that arose from the early work on centralized, classical signal detection, resulting in new ideas of asymptotically optimum nonparametric, robust, and sequential centralized detection. Recent developments on these topics in the setting of distributed signal detection are reviewed in the present paper. Results in these directions are important in practice because they allow cases of modeling uncertainty to be addressed, and they provide more efficient detection schemes by optimizing more general performance criteria
  • Keywords
    modelling; optimisation; random processes; sensor fusion; signal detection; CFAR; asymptotically optimum nonparametric detection; modeling; multiple sensors; narrowband signals; robust centralized detection; sequential centralized detection; signal detection; uncertainty; Bayesian methods; Constraint optimization; Detectors; Minimax techniques; Narrowband; Sensor fusion; Signal detection; Signal processing; Testing; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.554209
  • Filename
    554209