In this paper, the problem to estimating the parameters of the K-distributed clutter plus noise is addressed. The existing nonasymptotic z-log-z estimators are only applicable to multiple-pulse data due to the use of the harmonic mean, which is undefined for single-pulse reverberation data. When either single- or multiple-pulse data are used, new closed-form estimators are derived in this work. They combine two interesting statistical ratios based on fractional positive- and negative-order moments so that the hypergemetric functions are absolutely eliminated. For single-pulse transmission, the proposed estimators demonstrate computational advantages compared to the existing approaches. Besides, in the multiple-pulse case, they yield about the same accuracy as the closed-form z-log-z-based estimators obtained in previous work.


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    Titel :

    Closed-Form Fractional-Moment-Based Estimators for K-Distributed Clutter-Plus-Noise Parameters


    Beteiligte:
    Sahed, Mohamed (Autor:in) / Mezache, Amar (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    511378 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch