Among the numerous channel estimation (CE) techniques in the literature, pilot-aided channel estimation (PACE) has been widely employed, with the aid of various interpolation methods for reducing pilot overhead. Conventional linear interpolation (LI), polar linear interpolation (PLI) and adaptive polar linear interpolation (APLI) methods are easy to implement, but naturally result in residual interpolation errors at high signal-to-noise ratios (SNR). In this paper, we propose an effective origin optimisation aided APLI CE (EOO-APLI-CE) method, which outperforms existing schemes of similar complexity, through both inheriting the benefits offered by conventional APLI and further reducing the residual error floors. Moreover, the proposed real-time EOO-APLI-CE scheme can adapt to any channel model, without the need of channel-model-specific optimisation required, for example, by the conventional APLI method. Last but not least, it maintains a complexity as low as the traditional LI method.


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    Titel :

    Low-Complexity Adaptive Channel Estimation


    Beteiligte:
    Chen, Xianyu (Autor:in) / Jiang, Ming (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    293844 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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