The inversion of the micro motion parameters of the spatial cone target is of great significance for the detection and recognition of the spatial target. In this paper, the inversion of micro motion parameters of cone target is studied, Convolutional Neural Networks(CNN) training for time-frequency image is proposed. Different precession angles of target are classified as different categories. According to the classification results, the precession angle parameters of target are inversed. The simulation results show that the coiler neural network can invert the precession angle of the micro-motion target and has a good inversion effect.
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