• DocumentCode
    2367753
  • Title

    Analysis of pilot symbol assisted modulation using modified long range prediction algorithm for rayleigh fading channel

  • Author

    Yadav, Kuldeep ; Singh, Neetu ; Maskara, S.L.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Inst. of Inf. Technol. Univ. Noida, Noida
  • fYear
    2007
  • fDate
    26-28 Sept. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The need for spectrally efficient transmission on wireless channels can be achieved by adaptive transmission in which channel prediction is an important tool to combat the harmful effects of fading. The study in this paper has been emphasized to investigate the channel prediction technique using pilot symbol assisted modulation (PSAM). This technique is implemented using modified long range prediction (MLRP) and estimation of signal parameters using rotation invariance technique (ESPRIT) algorithm. This paper compares PSAM, with other techniques and also put some results for Wireless LANs. A significant improvement in terms of mean square error, predictor order, predicted channel envelope and bit error rate has been achieved.
  • Keywords
    Rayleigh channels; error statistics; modulation; parameter estimation; signal processing; Rayleigh fading channel; adaptive transmission; bit error rate; channel prediction technique; estimation of signal parameters using rotation invariance technique; mean square error; modified long range prediction algorithm; pilot symbol assisted modulation; predicted channel envelope; predictor order; wireless channels; Algorithm design and analysis; Antennas and propagation; Base stations; Bit error rate; Bit rate; Fading; Land mobile radio; Mobile antennas; Prediction algorithms; Receivers; BER; Channel State Prediction; Long Range Prediction; MSE; PSAM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet, 2007. ICI 2007. 3rd IEEE/IFIP International Conference in Central Asia on
  • Conference_Location
    Tashkent
  • Print_ISBN
    978-1-4244-1007-1
  • Type

    conf

  • DOI
    10.1109/CANET.2007.4401719
  • Filename
    4401719