In this paper, an adaptive step-size LMS algorithm for tracking time-varying channels is presented. It is well known that in the case of such channels, the output steady-state mean square error (MSB) is a nonlinear function of the algorithm step-size and so, an optimum step-size that minimize the MSE exist. Here we propose an algorithm which adaptively adjust the step-size of the LMS toward its optimum value, such that the steady-state MSE is minimized. The nonlinear relation between the steady-state MSE and the step-size is parametrized such that, during the adaptation, estimates of the optimum step-size are easily obtained. These estimates are obtained independent from the channel statistical parameters, therefore, no prior information about the channel parameters is needed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    LMS adaptive filter with optimum step-size for tracking time-varying channels


    Beteiligte:
    Bilcu, R.C. (Autor:in) / Kuosmanen, P. (Autor:in) / Egiazarian, K. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    313719 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    LMS Adaptive Filter with Optumum Step-Size for Tracking Time-Varying Channels

    Bilcu, R. C. / Kuosmanen, P. / Egiazarian, K. et al. | British Library Conference Proceedings | 2003


    An Adaptive Coded Caching Scheme for Time-Varying Channels

    HAIDAR, Mirna / FADLALLAH, Yasser / KASSIR, Zeinab et al. | IEEE | 2024


    A Linear Optimal Transversal Filter for Time-Varying Receiver Channels

    Ibarra-Manzano, O. / Shmaliy, Y. S. | IEEE | 2012


    An Adaptive Algorithms for Parameter Tracking of Time-Varying Parameters

    Morimoto, J. / Yamamoto, Y. / Kobayashi, I. et al. | British Library Online Contents | 1997