• DocumentCode
    908531
  • Title

    Modelling and computationally efficient time domain linear equalisation of nonlinear bandlimited QPSK satellite channels

  • Author

    Konstantinides, K. ; Yao, K.

  • Author_Institution
    Hewlett-Packard Lab., Palo Alto, CA, USA
  • Volume
    137
  • Issue
    6
  • fYear
    1990
  • Firstpage
    438
  • Lastpage
    442
  • Abstract
    The authors consider the problem of modelling and equalisation of a nonlinear satellite channel. The channel is assumed to be bandlimited and exhibits both amplitude and phase nonlinearities. In traditional models, computations are usually performed in the frequency domain and solutions are based on complex numerical techniques. A discrete time model is used to represent the satellite link with both uplink and downlink white Gaussian noise. Under conditions of practical interest, a simple and computationally efficient time-domain design technique for the minimum mean square error linear equaliser is presented. The efficiency of this technique is enhanced by the use of a fast and simple iterative algorithm for the computation of the autocorrelation coefficients of the output of the nonlinear channel. Numerical results on the evaluations of bit error probability and other relevant parameters needed in the design and analysis of a nonlinear bandlimited QPSK system demonstrate the simplicity and computational efficiency of the proposed approach.<>
  • Keywords
    equalisers; phase shift keying; satellite relay systems; telecommunication channels; time-domain analysis; white noise; amplitude nonlinearity; autocorrelation coefficients; bit error probability; discrete time model; downlink white Gaussian noise; iterative algorithm; minimum mean square error linear equaliser; nonlinear bandlimited QPSK satellite channels; phase nonlinearity; time domain linear equalisation; uplink white Gaussian noise;
  • fLanguage
    English
  • Journal_Title
    Communications, Speech and Vision, IEE Proceedings I
  • Publisher
    iet
  • ISSN
    0956-3776
  • Type

    jour

  • Filename
    217159