An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 14, Volume 30, Issue 1, January 2021, Page 105-117 PDF (2.84 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2021.146289 | ||||
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| Authors | ||||
| Hesham M. AbdelZaher1; Ibrahim M. El-Dokany1; Sami A. El-Dolil1; Osama A. Oraby2; Moawad I. Dessouky1; Adel El-fishawy1; El_Sayed M. El_Rabaie1; Fathi. E. Abd-El-Samie1 | ||||
| 1Communication Department Faculty of Electronic Engineering El-Menoufia University El-Menoufia, Egypt | ||||
| 2Electrical Engineering Department Faculty of Engineering Damiatta University Damiatta, Egypt | ||||
| Abstract | ||||
| Gyroscopes are sensors that are used for motion measurement. They are generally used to measure rotation rate of moving equipment. There are different types of gyroscopes including mechanical, micro-electro-mechanical (MEMS) and optical gyroscopes. Gyroscope signal suffers from internal noise due to internal device operation and external noise of the environment. This paper presents a proposed hybrid technique that includes both Kalman filter and wavelet denoising. Results show the superiority of this proposed technique to the other filters. Arranging the filters in cascaded hybrid structure has an effect on the performance of the hybrid technique. Using Kalman filter as a first stage is better than using the wavelet as a first stage. For the comparison, two evaluation metrics are used: Signal-to-Noise Ratio (SNR) improvement and correlation coefficient. | ||||
| Keywords | ||||
| Gyroscope; DWT; Wavelet denoising; Kalman filter; noise reduction | ||||
| References | ||||
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