A new architecture is conceived to face with the problem of target detection in the presence of possible structured jammers. Remarkably, from the point of view of radar metrology, such architecture can provide indirect measurements of the number of interfering signals, their direction of arrival and the power, which are used to solve a signal classification problem. To this end, the sparse nature of data is brought to light and the compressive sensing paradigm is applied to estimate target response and coherent jammers amplitudes. Then, the likelihood ratio test, where the unknown covariance matrix is replaced by its estimate based upon conventional secondary data, is designed. The entire architecture is assessed in terms of detection and estimation capabilities resorting to simulated data.


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    Titel :

    Radar Architectures Against Coherent Interferers


    Beteiligte:
    Yan, Linjie (Autor:in) / Hao, Chengpeng (Autor:in) / Addabbo, Pia (Autor:in) / Orlando, Danilo (Autor:in) / Farina, Alfonso (Autor:in)


    Erscheinungsdatum :

    2019-06-01


    Format / Umfang :

    1523175 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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