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Wavelet-Based Method for Fog Signal Denoising

Yue Zu 1 and Jinchu Cao 2
College of Automation, Harbin Engineering University, Harbin, China
Department of Education, University of Nevada, Reno, USA
Abstract—Fiber-Optic Gyroscope (FOG) has been widely used to measure the angle rate of vehicle in recent years. Being as unpredictable and unmeasured error, random drift generated from FOG instability create seriously bad influence on precision of FOG output, as well as Inertial Navigation System (INS). Although wavelet-based technique has made considerable progress in FOG signal denoising, almost all the achievements are based on off-line analysis that gives little contribution to practical application. This paper presents a revised plan on account of previous research on real time denoising, explaining the computational complexity reduction from theory. Through simulation and static FOG experiment using time-frequency analysis and Allan Variance as the performance evaluation standard, the denoising effectiveness compared to using traditional method has been proofed improving to a large extent.

Index Terms—FOG signal, Second generation wavelet transform (SGWT), Denoising, Real time, Sliding window

Cite: Yue Zu and Jinchu Cao, "Wavelet-Based Method for Fog Signal Denoising," International Journal of Electrical Energy, Vol.1, No.2, pp. 86-90, June 2013. doi: 10.12720/joace.1.2.86-90

 
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