We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction, and cross-range scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50% at best and 28% on average in several test cases, including changing translational and rotational motion.


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    Titel :

    Data-Driven Motion Compensation Techniques for Noncooperative ISAR Imaging


    Beteiligte:
    Vehmas, Risto (Autor:in) / Jylha, Juha (Autor:in) / Vaila, Minna (Autor:in) / Vihonen, Juho (Autor:in) / Visa, Ari (Autor:in)


    Erscheinungsdatum :

    01.02.2018


    Format / Umfang :

    938611 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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