Efficient Noise Reduction in Optical Gyroscope Signals

Document Type : Original Article

Authors

Communication Department Faculty of Electronic Engineering El-Menoufia University El-Menoufia, Egypt

Abstract

 Gyroscopes are sensors that are used for motion measurement. They are generally used to measure rotation rate of moving equipment. Gyroscope signals suffer from two types of noise. There is external noise due to environmental disturbances and internal noise due to internal device operation. Different filtering techniques can be employed to reduce this noise. Kalman filtering is one of these techniques that have been used. This paper presents a study of wavelet-based filtering technique and compares its results with Kalman filtering results. Results show the superiority of using the wavelet-based filtering technique over the Kalman filtering technique. 

Keywords

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 201-208

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