Research on MIMU adaptive filter method based on wavelet analysis

Xiaoguang Chen; Jiancheng Fang

doi:10.1117/12.716950

24 October 2006 Research on MIMU adaptive filter method based on wavelet analysis

Xiaoguang Chen, Jiancheng Fang

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 635717 (2006) https://doi.org/10.1117/12.716950
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Micro Inertia Measurement Unit based on MEMS component, is the core of the Micro Navigation System. Its accuracy has a crucial effect on system precision. Eliminating stochastic noise in MIMU signal is of great significance to increase the system accuracy. Aiming at the different characteristics showed at every scale space after wavelet analysis on MIMU signal, an adaptive filtering method with decomposition level and threshold value self-adaptive adjusting is proposed by this paper. The compactly supported Daubechies4 (db4) orthogonal wavelet is applied to decompose the signal in multi-scale space with self-adaptive level based on white noise sequence check. An improved self-adaptive threshold decision making is adopt for threshold filtering. After removing high frequency detail items generated by stochastic noise, inverse wavelet transform is applied to reconstruct the original signal. The experimental results indicate that the method can eliminate MIMU stochastic noise effectively and achieve satisfactory accuracy. And the algorithm is simple and practical.

Citation Download Citation

Xiaoguang Chen and Jiancheng Fang "Research on MIMU adaptive filter method based on wavelet analysis", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635717 (24 October 2006); https://doi.org/10.1117/12.716950

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