Application of Real-Time Wavelet Threshold Filtering in FOG Attitude Measurement System

Xia Qing Tang; Xu Wei Cheng; Huan Zhang; Xiang Yuan Huang

doi:10.4028/www.scientific.net/AMR.571.421

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 571Application of Real-Time Wavelet Threshold...

Application of Real-Time Wavelet Threshold Filtering in FOG Attitude Measurement System

Abstract:

A wavelet method is introduced to compensate stochastic errors of FOG attitude measurement system, analysing and comparing threshold and threshold function principle, a new threshold function combining with soft and hard threshold was designed. Adopting data moving window realizes recursive computation and real-time data update and solves filtering signal’s boundary problem with symmetric periodic extension method, and achieves real-time wavelet threshold filter. Experimental results show the feasibility of the real time wavelet threshold method in FOG signal de-noising, the real-time wavelet de-noising algorithm with new threshold function has the advantages of single algorithm. which improves the precision and stability of the FOG.

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Periodical:

Advanced Materials Research (Volume 571)

Pages:

421-426

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.571.421

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Online since:

September 2012

Authors:

Xia Qing Tang, Xu Wei Cheng, Huan Zhang, Xiang Yuan Huang

Keywords:

Fog, Real-Time, Threshold, Wavelet Filter

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