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77016

Efficient 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. 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. 

DOI

10.21608/mjeer.2019.77016

Keywords

Gyroscope, Kalman filter, Wavelet denoising

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.

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Oraby

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-

Affiliation

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

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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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First Name

Fathi. E.

Last Name

Abd-El-Samie

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-

Affiliation

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

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Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-11

Publish Date

2019-12-01

Page Start

201

Page End

208

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_77016.html

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https://mjeer.journals.ekb.eg/service?article_code=77016

Order

58

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

Efficient Noise Reduction in Optical Gyroscope Signals

Details

Type

Article

Created At

22 Jan 2023