The use of satellite signals for passive radar detection has become quite attractive in the recent years. This paper focuses on the detection and the shadow inverse forward scatter radar (SISAR) imaging of aircrafts in the passive forward scatter radar (FSR) system using global navigation satellite system (GNSS) satellites as illuminators of opportunity. The signal model derived from GNSS tracking loop is given and its Doppler character is analyzed. Then, by comparing GNSS FSR and ground-based FSR, the SISAR signal model and the imaging method for GNSS FSR are constructed. Experiments using airliners as targets were carried out, in which forward scattering signals of both GPS satellites and BeiDou satellites were captured. The experimental results verified the correctness of the given model as well as the effectiveness of the novel imaging method.


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    Titel :

    Detection and SISAR Imaging of Aircrafts Using GNSS Forward Scatter Radar: Signal Modeling and Experimental Validation


    Beteiligte:
    Cheng Hu (Autor:in) / Changjiang Liu (Autor:in) / Rui Wang (Autor:in) / Liang Chen (Autor:in) / Li Wang (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    2148843 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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