Channel Noise Suppression Method Based on Median Filtering Using Local Variance for Extreme/Super Low Frequency Communications
ZHAO Peng1, JIANG Yu-zhong1, ZHAI Qi1, XIANG Bing2, WANG Xi-chen1
1. College of Electronic Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China;
2. No. 722 Research Institute of CSIC, Wuhan, Hubei 430079, China
Abstract：Aiming at the problem that parameter estimation for extremely/super low frequency channel noise model is so complicated that it is difficult to perform optimal nonlinear processing and according to the time-domain analysis of the noise waveforms,a noise suppression method was proposed based on median filtering (MF) across local variance.It utilized the local variance to extract the structural information so that the noise impulsiveness would be enhanced and the performance of MF would be improved;utilized the constant false alarm rate outlier detection method to achieve the blind determination of the noisy samples and the adaptive MF algorithm to achieve the blind suppressions.Simulations and real tests verified its effectiveness.Due to no parameter estimation,this method is more practical than the optimal nonlinearities.
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2019, Vol. 47 
