• DocumentCode
    3570141
  • Title

    A Correlation Based Double Directional Stochastic Model for MIMO-UWB Propagation Channels

  • Author

    Xuemin Hong ; Chengxiang Wang

  • Author_Institution
    Sch. of Eng. & Phys. Sci. Electr., Heriot-Watt Univ., Edinburgh
  • fYear
    2006
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    This paper proposes a correlation based double directional stochastic model (CBDDSM) for indoor Multiple Input Multiple Output (MIMO) Ultra Wideband (UWB) propagation channels in the passband domain. Both angle of arrival (AoA) and time of arrival statistics are taken into account in the modelling procedure. Spatial correlations are introduced into the amplitude matrices and delay matrices of the channel model. Under the assumption of Rayleigh amplitude fading statistics, each amplitude matrix is obtained from the underlying correlated complex Gaussian matrix, while each delay matrix is obtained as the sum of a reference matrix and a difference matrix. Model parameters are determined based on well-known measurement campaigns. Simulation results show that the characteristics of the proposed model are compatible with those of the IEEE 802.15.3a standard model. In addition, our initial analysis indicates that this model yields desirable spatial correlation properties in both the time and frequency domains.
  • Keywords
    MIMO communication; direction-of-arrival estimation; matrix algebra; stochastic processes; time-of-arrival estimation; ultra wideband technology; wireless channels; AoA; CBDDSM; MIMO-UWB propagation channels; Rayleigh amplitude fading statistics; angle-of-arrival estimation; complex Gaussian matrix; correlation-based double directional stochastic model; indoor multiple input multiple output system; spatial correlations; time-of-arrival statistics; ultrawideband propagation channels; MIMO; UWB; channel model; spatial correlation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Ultra Wideband Systems, Technologies and Applications, 2006. The Institution of Engineering and Technology Seminar on
  • Print_ISBN
    0-86341-625-X
  • Type

    conf

  • Filename
    4123649