Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171697
Title: Using the MNL model in a mobile device's indoor positioning
Authors: Xie, Feng
Xie, Ming
Wang, Cheng
Keywords: Engineering::Mechanical engineering
Issue Date: 2023
Source: 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
Journal: Biomimetics 
Abstract: 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).
URI: https://hdl.handle.net/10356/171697
ISSN: 2313-7673
DOI: 10.3390/biomimetics8020252
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 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/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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