Radar tracking of aircraft targets at low elevation angles can be complicated by clutter from wind turbines, which we define to be clutter. In this paper, we study detection in a staring pulse-Doppler radar. By exploiting the second-order correlation structure of this wind-turbine clutter we derive a target detector that uses a sequence of adaptive coherence scores. The detector uses a multipulse coherence statistic consisting of an incoherent geometric average of coherently computed adaptive coherence scores. The detector compares favorably to a multipulse coherence detector that uses no modeling or estimation of the clutter.


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    Titel :

    Multipulse Adaptive Coherence for Detection in Wind Turbine Clutter


    Beteiligte:
    Pakrooh, Pooria (Autor:in) / Scharf, Louis L. (Autor:in) / Cheney, Margaret (Autor:in) / Homan, Andrew (Autor:in) / Ferrara, Matthew (Autor:in)


    Erscheinungsdatum :

    2017-12-01


    Format / Umfang :

    860765 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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