The application of fuzzy logic and lifting scheme wavelet transform to inertial sensors de-noising

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Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (12) : 226-229,.

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The application of fuzzy logic and lifting scheme wavelet transform to inertial sensors de-noising

SHEN Xiao-wei; YAO Min-li; CHANG Rui-hua

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Abstract

Due to the classical wavelet had the shortcoming of computation complexity and constant decomposition levels in inertial sensors de-noising, a thresholding de-noising method based fuzzy logic and lifting wavelet transform was brought out. Firstly, the motion type was determined by a fuzzy expert system, and the bandwidth of true motion dynamic was chosen accord to the spectrum estimation base on the priori knowledge. Then, a suitable wavelet decomposition levels for each axis of inertial sensors was automatically chosen in accordance with the relationship between wavelet decomposition levels and cut-off frequency. Finally, a discrete wavelet transformation was obtained under lifting scheme, and the signal was de-noised by compresses the coefficients of wavelet transform of signal at a threshold value. Test results prove that the proposed de-noising method can distinguish the motion type correctly, and has a better results and higher computational efficiency than classical wavelet de-noising with the constant decomposition levels.

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lifting wavelet transform / thresholding de-noising / fuzzy logic / inertial sensors

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SHEN Xiao-wei;YAO Min-li;CHANG Rui-hua. The application of fuzzy logic and lifting scheme wavelet transform to inertial sensors de-noising[J]. Journal of Vibration and Shock, 2011, 30(12): 226-229,