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Towards Improved Assistive Inertial Positioning Solutions by Using Finely Tuned Wavelet Functions

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dc.contributor.author ADOCHIEI, Ioana-Raluca
dc.contributor.author GRIGORIE, Teodor Lucian
dc.contributor.author ADOCHIEI, Felix-Constantin
dc.contributor.author NEGREA, Petre
dc.contributor.author CRISTIAN, Vidan
dc.contributor.author JULA, Nicolae
dc.date.accessioned 2023-11-10T10:32:53Z
dc.date.available 2023-11-10T10:32:53Z
dc.date.issued 2023
dc.identifier.citation ADOCHIEI, Ioana-Raluca, GRIGORIE, Teodor Lucian, ADOCHIEI, Felix-Constantin et al. Towards Improved Assistive Inertial Positioning Solutions by Using Finely Tuned Wavelet Functions. In: 6th International Conference on Nanotechnologies and Biomedical Engineering: proc. of ICNBME-2023, 20–23, 2023, Chisinau, vol. 1: Nanotechnologies and Nano-biomaterials for Applications in Medicine, 2023, p. 597-606. ISBN 978-3-031-42774-9. e-ISBN 978-3-031-42775-6. en_US
dc.identifier.isbn 978-3-031-42774-9
dc.identifier.isbn 978-3-031-42775-6
dc.identifier.uri https://doi.org/10.1007/978-3-031-42775-6_63
dc.identifier.uri http://repository.utm.md/handle/5014/24757
dc.description Acces full text - https://doi.org/10.1007/978-3-031-42775-6_63 en_US
dc.description.abstract In this article, we discuss improving navigation accuracy by refining signals achieved from the inertial navigation system’s (INS) detection unit. The accuracy of navigation depends on inertial sensors to a large extent. However, their errors can cause interference with signals. Researchers have developed different calibration procedures to address this issue to integrate INS navigators with other navigators. Two types of errors exist - deterministic and stochastic. Sensor noise greatly affects navigation solution quality. Traditional noise reduction methods cannot directly filter noise in the navigation signal due to its frequency spectrum. An alternative option is to use wavelets to denoise signals from inertial sensors. Our methodology uses fine-tuned wavelet functions and the Directed Transfer Function approach to eliminate noise interference with the sensors’ signals. Reference signals obtained from Global Positioning Satellites (GPS) are utilized during the tuning process. We tested our technique by installing an INS navigator with a micro-electro-mechanical (M.E.M.S.) inertial measurement unit and a GPS navigator in a portable assistive device. We optimized the wavelet filters’ decomposition levels for each inertial sensor in the measurement unit by analyzing experimentally acquired data. This method can significantly impact various industries, including human assistive technologies, transport, and logistics. It can also be extended for indoor monitoring purposes. en_US
dc.language.iso en en_US
dc.publisher Springer Nature Switzerland en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject inertial navigation systems en_US
dc.subject tuned wavelet functions en_US
dc.subject assistive positioning en_US
dc.title Towards Improved Assistive Inertial Positioning Solutions by Using Finely Tuned Wavelet Functions en_US
dc.type Article en_US


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  • 2023
    6th International Conference on Nanotechnologies and Biomedical Engineering, September 20–23, 2023, Chisinau, Moldova

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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