This paper proposes two methods to mitigate the zero bias of noncommensurate sampling based code-tracking loops to significantly improve the pseudonoise ranging accuracy. For the compensation-based method, a set of algorithms is developed to directly calculate the zero bias which is then removed from the range measurement. For the compensation-free method, a special category of sampling ratios are selected such that the zero bias is self-cancelled. Simulations validate the effectiveness of the proposed methods.


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    Titel :

    PN Ranging Based on Noncommensurate Sampling: Zero-Bias Mitigation Methods


    Beteiligte:
    Xiaojun Jin, (Autor:in) / Ning Zhang, (Autor:in) / Kan Yang, (Autor:in) / Xuemin Shen, (Autor:in) / Zhaobin Xu, (Autor:in) / Chaojie Zhang, (Autor:in) / Zhonghe Jin, (Autor:in)


    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    1748017 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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