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146289

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

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Last updated: 25 Dec 2024

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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-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.

DOI

10.21608/mjeer.2021.146289

Keywords

Gyroscope, DWT, Wavelet denoising, Kalman filter, Noise reduction

Authors

First Name

Hesham M.

Last Name

AbdelZaher

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-

Affiliation

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

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First Name

Ibrahim M.

Last Name

El-Dokany

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-

Affiliation

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

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First Name

Sami A.

Last Name

El-Dolil

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-

Affiliation

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

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First Name

Osama A.

Last Name

Oraby

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-

Affiliation

Electrical Engineering Department Faculty of Engineering Damiatta University Damiatta, Egypt

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First Name

Moawad I.

Last Name

Dessouky

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-

Affiliation

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

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First Name

Adel

Last Name

El-fishawy

MiddleName

-

Affiliation

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

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First Name

El_Sayed M.

Last Name

El_Rabaie

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-

Affiliation

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

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Orcid

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First Name

Fathi. E.

Last Name

Abd-El-Samie

MiddleName

-

Affiliation

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

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Volume

30

Article Issue

1

Related Issue

21538

Issue Date

2021-01-01

Receive Date

2021-02-04

Publish Date

2021-01-01

Page Start

105

Page End

117

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_146289.html

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https://mjeer.journals.ekb.eg/service?article_code=146289

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14

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

Details

Type

Article

Created At

22 Jan 2023