• DocumentCode
    1748053
  • Title

    Asymptotically optimal empirical fusion of bit estimates derived from a bank of receivers

  • Author

    Dixit, Amitabh ; Orsak, Geoffrey C.

  • Author_Institution
    Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    293
  • Abstract
    In this paper we derive an asymptotically optimal algorithm for blindly fusing bit estimates from various distributed detectors when the performance of each detector is unknown. Results show that in practical regimes, this new fusion rule outperforms the best individual detector in the bank and outperforms the standard “majority rule” fusion detector
  • Keywords
    error statistics; parameter estimation; receivers; sensor fusion; asymptotically optimal empirical fusion; bit estimates; distributed detectors; fusion rule; receiver bank; Bit error rate; Detectors; Fuses; Random processes; Signal detection; Signal processing; Signal processing algorithms; Statistical distributions; Training data; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.936156
  • Filename
    936156
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1748053