To facilitate space debris characterization, recognition, and cataloguing in space situation awareness, this paper represents the incomplete and phase-corrupted echoes of micromotion space debris using a nonparametric joint time-frequency (JTF) dictionary and obtains the sparse and phase-corrected JTF signature by iterative optimization. The proposed method avoids matrix inversion to reduce the computational complexity and can be extended to range-instantaneous-Doppler imaging readily. Simulation results have proved the effectiveness of the proposed method.


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    Titel :

    Obtaining JTF-Signature of Space-Debris From Incomplete and Phase-Corrupted Data


    Beteiligte:
    Xueru Bai, (Autor:in) / Feng Zhou, (Autor:in) / Ye Hui, (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    1415924 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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