• DocumentCode
    3004722
  • Title

    Adaptive equalization for time division multiplex channels

  • Author

    Kesler, Stanislav B. ; Sallam, Basiouny M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    1890
  • Abstract
    A recursive least-squares adaptive lattice algorithm is applied to equalizing a communication channel carrying time division multiplexed (TDM) signals. The procedure utilizes one lattice predictor subsystem for all TDM signals before demultiplexing. The total TDM signal serves as a training sequence, and the minimization is performed on the sum of the squares of the total joint error residual. The weighted backward error output of the lattice predictor is then multiplexed, and the estimate of each signal is obtained. This way, a significant savings in hardware can be obtained. Computer simulation is run for both multiplexed signals. The results show that the equalizer performance is the same as in the case of a single transmitted signal
  • Keywords
    least squares approximations; signal processing; telecommunication channels; time division multiplexing; TDM signals; adaptive equalisation; adaptive lattice algorithm; communication channel; computer simulation; demultiplexing; equalizer performance; joint error residual; lattice predictor subsystem; minimization; recursive least-squares; signal processing; time division multiplex channels; training sequence; weighted backward error output; Adaptive equalizers; Adaptive filters; Communication channels; Computer errors; Demultiplexing; Lattices; Least squares methods; Resonance light scattering; Telephony; Time division multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.196994
  • Filename
    196994