Web of Science: 11 citations, Scopus: 8 citations, Google Scholar: citations
Advanced Pedestrian Positioning System to Smartphones and Smartwatches
Correa, Alejandro (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Muñoz Díaz, Estefanía (German Aerospace Center, Institute of Communications and Navigation)
Bousdar Ahmed, Dina (German Aerospace Center, Institute of Communications and Navigation)
Morell Pérez, Antoni (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
López Vicario, José (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Date: 2016
Abstract: In recent years, there has been an increasing interest in the development of pedestrian navigation systems for satellite-denied scenarios. The popularization of smartphones and smartwatches is an interesting opportunity for reducing the infrastructure cost of the positioning systems. Nowadays, smartphones include inertial sensors that can be used in pedestrian dead-reckoning (PDR) algorithms for the estimation of the user's position. Both smartphones and smartwatches include WiFi capabilities allowing the computation of the received signal strength (RSS). We develop a new method for the combination of RSS measurements from two different receivers using a Gaussian mixture model. We also analyze the implication of using a WiFi network designed for communication purposes in an indoor positioning system when the designer cannot control the network configuration. In this work, we design a hybrid positioning system that combines inertial measurements, from low-cost inertial sensors embedded in a smartphone, with RSS measurements through an extended Kalman filter. The system has been validated in a real scenario, and results show that our system improves the positioning accuracy of the PDR system thanks to the use of two WiFi receivers. The designed system obtains an accuracy up to 1. 4 m in a scenario of 6000 m2.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès.
Document: article ; recerca ; publishedVersion
Subject: Inertial sensors and systems ; Smartphone navigation systems ; Aiding technology for INS ; Smartwatch ; Received signal strength
Published in: Sensors, Vol. 16 Núm. 11 (November 2016) , ISSN 1424-8220

DOI: 10.3390/s16111903
PMID: 27845715


18 p, 2.5 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2016-12-02, last modified 2019-07-20



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