Most dipole-antenna signal processing algorithms have focused on “short dipole” whose physical length ($L$) is under ($1/10$) of a wavelength ($\lambda$). Recent works now handle “long dipoles” of an electrical length $L/\lambda \in [0.1, 1]$. This article advances an algorithmic paradigm that uses short-dipole algorithm on long-dipole data. By studying the mismatched Cramér–Rao bound, we find that applying short-dipole algorithm to a long-dipole data model may yield parameters' estimates that are not far from their true values especially when $L/\lambda$ is small. This phenomenon motivates a two-step algorithm where we apply short-dipole algorithm to get parameters' coarse estimates, which are then fine-tuned by an iterative algorithm. Our algorithm maximally retains the merits of the existing short-dipole algorithms while processing the signals received by a long dipole triad. Monte Carlo simulations verify the effectiveness of the proposed paradigm.


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    Titel :

    Parameter Estimation Using a Triad of Electrically Long Dipole Despite Data Model Mismatch


    Beteiligte:
    Zhong, Wenye (Autor:in) / Song, Yang (Autor:in) / Cai, Guofa (Autor:in)


    Erscheinungsdatum :

    01.04.2023


    Format / Umfang :

    1612181 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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