Application of Wavelet Analysis in Random Drift Signal Filtering of Fiber Optic Gyroscope

Hong Liang Liu; Wei Yi Chen; Zhong Sheng Xu

doi:10.4028/www.scientific.net/AMM.672-674.2029

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674Application of Wavelet Analysis in Random Drift...

Application of Wavelet Analysis in Random Drift Signal Filtering of Fiber Optic Gyroscope

Abstract:

Wavelet analysis technique is proposed in the filter processing to remove the noise from random drift signal of fiber optic gyroscope (FOG). Based on the component elements of random drift signal of FOG, mathematical model of random drift signal of FOG is built. According to the shortcomings of hard threshold and soft threshold, threshold function of forced denoising is used in signal filtering. It is shown from simulation and statistic analysis that the wavelet analysis technique is an effective method to eliminate noise from random drift signal of FOG, and that selection of wavelet base and decomposition scale also has an impact on filtering effect of wavelet analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

2029-2032

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.2029

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Online since:

October 2014

Authors:

Hong Liang Liu*, Wei Yi Chen, Zhong Sheng Xu

Keywords:

Fiber Optic Gyroscope, Forced Denoising, Wavelet Analysis

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* - Corresponding Author

References

[1] Narasimhappa M, Rangababu P, and Sabat S. A modified Sage-Husa adaptive Kalman filter for denoising Fiber Optic Gyroscope signal,. 2012 IEEE Conference (2012), pp: 1266-1271.

DOI: 10.1109/indcon.2012.6420813

Google Scholar

[2] NIU Chun-feng, LIU Shi-ping, and WANG Zhong-yuan. Journal of Naval University of Engineering, Vol. 24, No. 2 (2012), pp.29-32(In Chinese).

Google Scholar

[3] GUO Ling, WU Xun-zhong, and JIN Yi. Optical Technique, Vol. 39, No. 4 (2013), pp.328-330(In Chinese).

Google Scholar

[4] Donoho D L. Denoising by soft thresholding,. IEEE Transon Information Theory, Vol. 41, No. 3 (1995), pp.613-627.

Google Scholar

[5] Chen Xiyuan. Adaptive Filtering Based on the Wavelet Transform for FOG on the Moving,. Base Lecture Notes in Computer Science, Vol. 36, No. 44 (2005), pp.447-455.

DOI: 10.1007/11538059_47

Google Scholar

[6] Chen Tao, Wang Wei, and Ji Qing. Ordnance Industry Automation, Vol. 32, No. 3 (2013), pp.70-72 (In Chinese).

Google Scholar

[7] Wang Wei, Xiang Zheng, and Wang Guo-dong. Infrared and Laser Engineering, Vol. 41, No. 12 (2012), pp.3401-3405 (In Chinese).

Google Scholar