Using the MNL Model in a Mobile Device’s Indoor Positioning-Reference-Cited by-同舟云学术

Using the MNL Model in a Mobile Device’s Indoor Positioning

Published:2023-06-13 Issue:2 Volume:8 Page:252
ISSN:2313-7673
Container-title:Biomimetics
language:en
Short-container-title:Biomimetics

Author:

Xie Feng¹^ORCID,Xie Ming²^ORCID,Wang Cheng¹

Affiliation:

1. School of Information Science and Technology, Sanda University, Shanghai 201209, China

2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore

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).

Publisher

MDPI AG

Subject

Molecular Medicine,Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biotechnology

Link

https://www.mdpi.com/2313-7673/8/2/252/pdf

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