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.
Micro-Doppler Separation Based on U-Net and Plot-Curve Association for Ballistic Target
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 2 ; 827-836
2023-04-01
16058474 byte
Article (Journal)
Electronic Resource
English
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