Doppler spectrums based translational motion compensation for narrowband radar imaging

The incomplete translational motion compensation (TMC) will result in energy diffusion in radar image. In this paper, we propose a nonparametric method to accurately compensate the translational motion of the target. This method combines Viterbi algorithm and empirical mode decomposition (EMD) algorithm to estimate the instantaneous frequency of dominant scatterer and extract the Doppler frequency trend The translational phase can be retrieved by integrating the extracted Doppler frequency trend The simulation results validate the effectiveness of the proposed method.

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