• DocumentCode
    3252381
  • Title

    On optimal fusion architecture for a two-sensor tandem distributed detection system

  • Author

    Akofor, Earnest ; Biao Chen

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    The paper revisits the classical problem of determining the optimal communication direction in a two-sensor fusion system. For the problem of signal detection in additive Gaussian noises, the paper attempts to reconcile the difference in existing literature about which sensor ought to serve as the fusion center for optimal detection performance. While there has been no general conclusion as to which direction is preferred for general detection problems, we establish that for the aforementioned Gaussian problem, having the better sensor, i.e., the sensor with higher signal to noise power ratio, serving as the fusion center is preferred for better detection performance. This is true for the cases of both deterministic signal detection and the Gaussian random signal detection.
  • Keywords
    Gaussian noise; optimisation; sensor fusion; signal detection; Gaussian random signal detection; additive Gaussian noises; detection performance; deterministic signal detection; fusion center; optimal communication direction determination; optimal fusion architecture; signal-to-noise power ratio; two-sensor fusion system; two-sensor tandem distributed detection system; Additives; Bayes methods; Computer architecture; Gaussian noise; Signal detection; Signal to noise ratio; Bayesian decision; Distributed detection; communication direction; dependent observations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736832
  • Filename
    6736832