Based on the linear relationship between the chirp rate of cross-range inverse synthetic aperture radar (ISAR) signal and the slant range, a parametric sparse representation method is proposed for ISAR imaging of rotating targets. The ISAR echo is formulated as a parametric joint-sparse signal and the chirp rates at all range bins are estimated by maximizing the contrast of sparse ISAR image. Comparing with homologous algorithms, the computational complexity of the proposed method is significantly reduced.


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    Title :

    Parametric sparse representation method for ISAR imaging of rotating targets


    Contributors:
    Wei Rao (author) / Gang Li (author) / Xiqin Wang (author) / Xiang-Gen Xia (author)


    Publication date :

    2014-04-01


    Size :

    1828236 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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