Smartphone-based indoor localization using wi-fi fine timing measurement

Kyuwon Han, Seung Min Yu, Seong Lyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

As the number of smartphone users exploded, the demand for Location-Based Service (LBS) has increased. It is important for the LBS to specify the user location by utilizing the sensor built in the smartphone. Unlike outdoor localization, which can employ GPS, there are many challenging issues in indoor localization including non-line-of-sight (NLOS) and multipath effect. In our paper, we focus on Wi-Fi Fine Timing Measurement (FTM) which is a new function of the Android Pie Operating System (OS). We propose line-of-sight (LOS) identification algorithms applicable to Wi-Fi FTM and apply these algorithms to indoor localization based on multilateration methods. We utilize a hypothesis test framework and Support Vector Machine (SVM) to identify LOS signals. We divide LOS/NLOS signals as low and high-quality signals according to the degree of multipath error. We achieve high-quality signals identification rate of 92.4% on average in the sample size 99 and of 78.3% on average in the sample size 29. Therefore, we obtain a 24.4% localization performance improvement compared to the perfect LOS detector by using only high-quality signals to localization.

Original languageEnglish
Title of host publication2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728117881
DOIs
Publication statusPublished - 2019 Sept
Event2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019 - Pisa, Italy
Duration: 2019 Sept 302019 Oct 3

Publication series

Name2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019

Conference

Conference2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019
Country/TerritoryItaly
CityPisa
Period19/9/3019/10/3

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Artificial Intelligence
  • Instrumentation

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