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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sparse array imaging for microwave gauging by compressed sensing


    Contributors:


    Publication date :

    2014-04-01


    Size :

    992113 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Adaptive beamforming with compressed sensing for sparse receiving array

    Jian Wang / Wei-Xing Sheng / Yu-Bing Han et al. | IEEE | 2014



    FUEL GAUGING SENSING DEVICES

    VINCENTE OLIVEROS DAVID / RUIZ DE PABLO JAVIER / WOOD CHRIS | European Patent Office | 2023

    Free access

    FUEL GAUGING SENSING DEVICES

    VICENTE OLIVEROS DAVID / RUIZ DE PABLO JAVIER / WOOD CHRIS | European Patent Office | 2024

    Free access