A robust autofocus approach, referred to as AUTOCLEAN (AUTOfocus via CLEAN), is proposed for the motion compensation in ISAR (inverse synthetic aperture radar) imaging of moving targets. It is a parametric algorithm based on a very flexible data model which takes into account arbitrary range migration and arbitrary phase errors across the synthetic aperture that may be induced by unwanted radial motion of the target as well as propagation or system instability. AUTOCLEAN can be classified as a multiple scatterer algorithm (MSA), but it differs considerably from other existing MSAs in several aspects: (1) Dominant scatterers are selected automatically in the 2D image domain; (2) scatterers may not be well isolated or very dominant; (3) phase and RCS information from each selected scatterer are combined in an optimal way; (4) the troublesome phase unwrapping step is avoided. AUTOCLEAN is computationally efficient and involves only a sequence of FFTs. Another good feature associated with AUTOCLEAN is that its performance can be progressively improved by assuming a larger number of dominant scatterers for the target. Numerical and experimental results have shown that AUTOCLEAN is a very robust autofocus tool for ISAR imaging.


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    Titel :

    Robust autofocus algorithm for ISAR imaging of moving targets


    Beteiligte:
    Jian Li, (Autor:in) / Renbaio Wu, (Autor:in) / Chen, V.C. (Autor:in)


    Erscheinungsdatum :

    2001-07-01


    Format / Umfang :

    2710872 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust autofocus algorithm for ISAR imaging of moving targets

    Li, Jian / Wu, Renbaio / Chen, V.C. | Tema Archiv | 2001


    Robust autofocus algorithm for ISAR imaging of moving targets

    Li, Jian / Wu, Renbiao / Chen, V.C. | Tema Archiv | 2000



    One-Dimensional ISAR Imaging of Multiple Moving Targets

    Zhu, Z. / She, Z. / IEEE; Dayton Section et al. | British Library Conference Proceedings | 1994


    Efficient ISAR autofocus via minimization of Tsallis Entropy

    Min-Seok Kang, / Ji-Hoon Bae, / Seong-Hyeon Lee, et al. | IEEE | 2016