• DocumentCode
    2173644
  • Title

    Statistically correct simulation models for the generation of multiple uncorrelated Rayleigh fading waveforms

  • Author

    Silva, Vanderlei A. ; Abrão, Taufik ; Jeszensky, Paul Jean E

  • Author_Institution
    Escola Politecnica of Univ. of Sao Paulo, Brazil
  • fYear
    2004
  • fDate
    30 Aug.-2 Sept. 2004
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    An ergodic simulation model for the generation of multiple time uncorrelated Rayleigh waveforms with correct ensemble averages is proposed. This model uses the inverse discrete Fourier transform to generate the transmission coefficients with only one random number generator. Two recent modified versions of the Jake´s and Smith´s models, with correct ensemble averages, are analysed and compared with the proposed model. Analytical and simulation results show that the proposed model is ergodic in mean and autocorrelation, as is the modified Smith´s model. Simulation results also show that the modified Jake´s model requires the highest computation effort among the three analysed models. As a result, this model become less efficient in simulation.
  • Keywords
    Rayleigh channels; computational complexity; discrete Fourier transforms; random number generation; waveform generators; Jake model; Smith model; autocorrelation; computation effort; ergodic simulation model; inverse discrete Fourier transform; multiple uncorrelated Rayleigh fading waveforms; multiple uncorrelated waveforms; random number generator; statistically correct models; transmission coefficients; Analytical models; Autocorrelation; Computational modeling; Discrete Fourier transforms; Inverse problems; Oscillators; Random number generation; Random processes; Rayleigh channels; Rayleigh scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
  • Print_ISBN
    0-7803-8408-3
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2004.1371745
  • Filename
    1371745