The high-precision separation of micro-Doppler (m-D) curves is the key to micromotion feature extraction and parameter estimation for ballistic target in midcourse. The m-D curves of each scatter overlap seriously in the time–frequency domain and are also affected by nonideal scattering phenomena such as strong noise and occlusion effects, which poses a significant challenge to the traditional curve separation methods. Aiming at this problem, a m-D curve separation algorithm under nonideal scattering conditions is proposed in this article. First, the m-D curve and noise are separated through the U-Net model in the time–frequency domain. Then, on the basis of eliminating the effect of redundant and pseudoplots by plot condensation and plot processing, the m-D plots are associated and regrouped based on interpolation and curve smoothness function. Finally, the effectiveness and robustness of the proposed algorithm have been illustrated by extensive simulation experiments.


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    Title :

    Micro-Doppler Separation Based on U-Net and Plot-Curve Association for Ballistic Target


    Contributors:
    Yang, Degui (author) / Wang, Xing (author) / Peng, Zhenghong (author) / Hu, Liang (author) / Li, Jin (author)


    Publication date :

    2023-04-01


    Size :

    16058474 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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