Using the MNL model in a mobile device's indoor positioning
Indoor Positioning Services (IPS) allow mobile devices or bionic robots to locate themselves quickly and accurately in large commercial complexes, shopping malls, supermarkets, exhibition venues, parking garages, airports, or train hubs, and access surrounding information. Wi-Fi-based indoor positio...
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sg-ntu-dr.10356-1716972023-11-11T16:48:27Z Using the MNL model in a mobile device's indoor positioning Xie, Feng Xie, Ming Wang, Cheng School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Mobile Devices Indoor Positioning Indoor Positioning Services (IPS) allow mobile devices or bionic robots to locate themselves quickly and accurately in large commercial complexes, shopping malls, supermarkets, exhibition venues, parking garages, airports, or train hubs, and access surrounding information. Wi-Fi-based indoor positioning technology can use existing WLAN networks, and has promising prospects for broad market applications. This paper presents a method using the Multinomial Logit Model (MNL) to generate Wi-Fi signal fingerprints for positioning in real time. In an experiment, 31 locations were randomly selected and tested to validate the model, showing mobile devices could determine their locations with an accuracy of around 3 m (2.53 m median). Published version The APC was funded by Sanda University, Shanghai, China. 2023-11-06T01:43:48Z 2023-11-06T01:43:48Z 2023 Journal Article Xie, F., Xie, M. & Wang, C. (2023). Using the MNL model in a mobile device's indoor positioning. Biomimetics, 8(2), 252-. https://dx.doi.org/10.3390/biomimetics8020252 2313-7673 https://hdl.handle.net/10356/171697 10.3390/biomimetics8020252 37366847 2-s2.0-85163851201 2 8 252 en Biomimetics © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf |
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Engineering::Mechanical engineering Mobile Devices Indoor Positioning Xie, Feng Xie, Ming Wang, Cheng Using the MNL model in a mobile device's indoor positioning |
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Indoor Positioning Services (IPS) allow mobile devices or bionic robots to locate themselves quickly and accurately in large commercial complexes, shopping malls, supermarkets, exhibition venues, parking garages, airports, or train hubs, and access surrounding information. Wi-Fi-based indoor positioning technology can use existing WLAN networks, and has promising prospects for broad market applications. This paper presents a method using the Multinomial Logit Model (MNL) to generate Wi-Fi signal fingerprints for positioning in real time. In an experiment, 31 locations were randomly selected and tested to validate the model, showing mobile devices could determine their locations with an accuracy of around 3 m (2.53 m median). |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Xie, Feng Xie, Ming Wang, Cheng |
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Article |
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Xie, Feng Xie, Ming Wang, Cheng |
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Xie, Feng |
title |
Using the MNL model in a mobile device's indoor positioning |
title_short |
Using the MNL model in a mobile device's indoor positioning |
title_full |
Using the MNL model in a mobile device's indoor positioning |
title_fullStr |
Using the MNL model in a mobile device's indoor positioning |
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Using the MNL model in a mobile device's indoor positioning |
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using the mnl model in a mobile device's indoor positioning |
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2023 |
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https://hdl.handle.net/10356/171697 |
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