• DocumentCode
    53638
  • Title

    Optimality of Received Energy in Decision Fusion Over Rayleigh Fading Diversity MAC With Non-Identical Sensors

  • Author

    Ciuonzo, Domenico ; Romano, Gianmarco ; Rossi, Pierluigi Salvo

  • Author_Institution
    Dept. of Inf. Eng., Second Univ. of Naples, Aversa, Italy
  • Volume
    61
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan.1, 2013
  • Firstpage
    22
  • Lastpage
    27
  • Abstract
    Received-energy test for non-coherent decision fusion over a Rayleigh fading multiple access channel (MAC) without diversity was recently shown to be optimum in the case of conditionally mutually independent and identically distributed (i.i.d.) sensor decisions under specific conditions [C. R. Berger, M. Guerriero, S. Zhou, and P. Willett, “PAC vs. MAC for Decentralized Detection Using Noncoherent Modulation,” IEEE Trans. Signal Process., vol. 57, no. 9, pp. 3562-2575, Sep. 2009], [F. Li, J. S. Evans, and S. Dey, “Decision Fusion Over Noncoherent Fading Multiaccess Channels,” IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4367-4380, Sep. 2011]. Here, we provide a twofold generalization, allowing sensors to be non identical on one hand and introducing diversity on the other hand. Along with the derivation, we provide also a general tool to verify optimality of the received energy test in scenarios with correlated sensor decisions. Finally, we derive an analytical expression of the effect of the diversity on the large-system performances, under both individual and total power constraints.
  • Keywords
    Rayleigh channels; correlation methods; diversity reception; multi-access systems; sensor fusion; wireless sensor networks; Rayleigh fading diversity; Rayleigh fading multiple access channel; correlated sensor decision; diversity reception; noncoherent decision fusion; nonidentical sensors; power constraint; received energy optimality; received energy test; Optimized production technology; Rayleigh channels; Sensor phenomena and characterization; Vectors; Wireless sensor networks; Distributed detection; MIMO; energy detection; wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2223694
  • Filename
    6327686