• DocumentCode
    417359
  • Title

    Decision fusion with censored sensors

  • Author

    Jiang, Ruixiang ; Chen, Biao

  • Author_Institution
    Dept. of Electron. Eng. & Comput. Sci., Syracuse Univ., NY, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    Motivated by the sensor censoring idea, we consider a canonical decentralized detection problem with each sensor employing an on/off signaling scheme. Novel to the current work is the integration of fading transmission channels in the fusion algorithm design. The on/off signaling, in addition to its low communication overhead which is crucial to bandwidth limited applications, also enables the decision fusion to be carried out without the knowledge of channel phase. Resorting to incoherent detection schemes, we develop optimal fusion rules for the following two scenarios: 1) when the fading channel envelopes are available at the fusion center; 2) when only the fading statistic is available. Under the low signal-to-noise ratio regime, we further reduce the optimal fusion rule into simple nonlinearities that are both easy to implement and are not subject to prior knowledge constraints.
  • Keywords
    fading channels; sensor fusion; signal detection; statistical analysis; telecommunication signalling; wireless sensor networks; SNR; channel phase; decentralized detection problem; decision fusion; distributed detection; distributed sensors; fading channels; fading statistic; fusion rule; incoherent detection; on/off signaling; sensor censoring; signal-to-noise ratio; wireless sensor networks; Algorithm design and analysis; Bandwidth; Envelope detectors; Fading; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal to noise ratio; Statistical distributions; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326251
  • Filename
    1326251