The reliability of microwave level gauging can be improved by radar imaging techniques. An antenna array with a large aperture must be used, in order to achieve the desired resolution. At the same time, the number of array elements is limited to only a few, which leads to ambiguities due to spatial undersampling. The ambiguities can be resolved by application of compressed sensing (CS) techniques, as this paper will demonstrate. A model of this particular problem is developed, such that CS algorithms can be applied. Statistical analyses demonstrate the robustness of the method. Finally, measurements of a frequency modulated continuous wave (FMCW) system are presented, with an array size of down to 4 elements.


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    Titel :

    Sparse array imaging for microwave gauging by compressed sensing


    Beteiligte:
    Kolb, Stephan (Autor:in) / Stolle, Reinhard (Autor:in)


    Erscheinungsdatum :

    2014-04-01


    Format / Umfang :

    992113 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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