• DocumentCode
    2979566
  • Title

    MIMO UWB-IR Noncoherent Transceiver with Poisson Wireless Models

  • Author

    Huang, Xu ; Sharma, Dharmendra

  • Author_Institution
    Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT
  • fYear
    2009
  • fDate
    11-13 Feb. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Multi-antenna-based multi-input multi-output (MIMO) communicationsbecomes the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the point that today, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems, which will contribute to optimal designs for the lo.w-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. Our investigations are based on that without requiring any channel estimation procedure we develop and analyze three no coherent transceiver channels based on Poisson model. The simulations for our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number will impact on the SNR on the MIMO UWB-IR systems.
  • Keywords
    MIMO communication; Poisson distribution; channel estimation; fading channels; transceivers; ultra wideband communication; IEEE 802.15; MIMO UWB-IR noncoherent transceiver; Nakagami distributed multipath fading channel; Poisson distribution; Poisson wireless models; channel estimation; multi-antenna-based multi-input multi-output communications; signal-noise ratio; ultrawide-band-impulse radio; wireless data communications; Bandwidth; Channel estimation; Data communication; Fading; MIMO; Nakagami distribution; Throughput; Transceivers; WiMAX; Wireless communication; IEEE 802.15; MIMO; Nakagami distribution; Poisson distribution; UWB-IR; wireless communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Pervasive Computing, 2009. ISWPC 2009. 4th International Symposium on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-2965-3
  • Electronic_ISBN
    978-1-4244-2966-0
  • Type

    conf

  • DOI
    10.1109/ISWPC.2009.4800593
  • Filename
    4800593