• DocumentCode
    3003968
  • Title

    Detection of a non-cooperative transmitter in Rayleigh fading with binary observations

  • Author

    Shoari, Arian ; Seyedi, Alireza

  • Author_Institution
    Univ. of Rochester, Rochester, NY, USA
  • fYear
    2012
  • fDate
    Oct. 29 2012-Nov. 1 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The problem of distributed detection of a noncooperative target with non-coherent binary observations is considered. The propagation is assumed to be inversely proportional to a power of the distance from the target and the signal is assumed to be subject to Rayleigh fading and additive white Gaussian noise (AWGN). As the location and power of the target are unknown, the probability of detection and probability of false alarm are also not known for each individual detectors. Thus, the optimum Chair-Varshney fusion rule does not apply. Instead, a two stage method based on a generalized likelihood ratio test (GLRT) is derived and proposed. Monte Carlo simulations have been performed to evaluate the performance of the global fusion rule. The results show that the performance of this fusion scheme is significantly better than the intuitive counting rule.
  • Keywords
    AWGN; Monte Carlo methods; Rayleigh channels; probability; radio transmitters; sensor fusion; signal detection; AWGN; GLRT; Monte Carlo simulations; Rayleigh fading; additive white Gaussian noise; fusion scheme; generalized likelihood ratio test; intuitive counting rule; noncoherent binary observations; noncooperative target distributed detection; noncooperative transmitter detection; probability of detection; probability of false alarm; two stage method; AWGN; Detectors; Rayleigh channels; Sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
  • Conference_Location
    Orlando, FL
  • ISSN
    2155-7578
  • Print_ISBN
    978-1-4673-1729-0
  • Type

    conf

  • DOI
    10.1109/MILCOM.2012.6415676
  • Filename
    6415676