Research on denoising method for laser fuze echo signal based on MI-EMD
In order to solve the problem that laser fuze echo signal is easy to be polluted by noise and the signal-to-noise ratio is low,a method of laser fuze echo signal denoising based on mutual information empirical mode decomposition is proposed.This method integrates the characteristics of mutual information correlation and empirical modal decomposition adaptivity,and performs empirical modal decomposition of laser fuze echo signals built based on radar principle.Then the noise modes and signal modes are distinguished by mutual information and correlation threshold,the useful signal components in the decomposed signals are extracted,and their related modes are reconstructed to realize the effective remove of noise.The experimental results show that the signal-to-noise ratio of this method is improved to 18.885 4 dB,the root-mean-square error reduced to2.81×10-6,and the smoothness of the signal curve after denoising is relatively high.This method can effectively remove noise from the laser fuze echo signal,restore the original signal of the laser fuze echo,and ensure the integrity of the signal.This lays a solid foundation for the subsequent accurate distance calculation of laser fuze under noise conditions.
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