Adaptive Threshold De-Noising Algorithm of Roll Eccentricity Signal
Daoping Li, Xiaolan Yao, Qinghe Wu, Xiaodong Zhang · 2008
To solve the problem of roll eccentricity signal with the noise in the HAGC system, a new method based on adaptive threshold de-noising algorithm of roll eccentricity signal is proposed. The new method can self-adaptively decide the threshold of wavelet analysis and make the SNR as a function of the parameter of the filter to acquire the optimal threshold parameter by using midpoint method. This method has the properties of self-adaptation, strong robustness, low calculation, simple arithmetic and so on. Simulation shows that the result of de-noising with this new method is much better than soft-thresholding algorithm and hard-thresholding algorithm and has a good de-noising result for roll eccentricity signal in HAGC system.