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Noise reduction in optical gyroscope signals based on hybrid approaches

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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-electromechanical 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 filtering and wavelet denoising for noise reduction of gyroscope signals. Results show the superiority of this proposed technique to other traditional ones. Arranging the stages in a cascaded hybrid structure has an effect on the performance of the hybrid technique. The utilization of the Kalman filter as the first stage is better than the utilization of the wavelet denoising as the first stage. For the comparison, two evaluation metrics are used: signal-to-noise ratio (SNR) improvement and correlation coefficient with the clean signal.

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Authors and Affiliations

  1. Communication Department Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

    Hesham M. Abdelzaher, Ibrahim M. El-Dokany, Sami A. El-Dolil, Moawad I. Dessouky, Adel S. El-Fishawy, El-Sayed M. El-Rabaie & Fathi E. Abd-El-Samie

  2. Electrical Engineering Department, Faculty of Engineering, Damiatta University, Damiatta, Egypt

    Osama A. Oraby

  3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 21974, Saudi Arabia

    Fathi E. Abd-El-Samie

Authors
  1. Hesham M. Abdelzaher
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  2. Ibrahim M. El-Dokany
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  3. Sami A. El-Dolil
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Correspondence to Hesham M. Abdelzaher.

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Abdelzaher, H.M., El-Dokany, I.M., El-Dolil, S.A. et al. Noise reduction in optical gyroscope signals based on hybrid approaches. J Opt 51, 5–21 (2022). https://doi.org/10.1007/s12596-020-00617-3

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