Multi-Step Optimization of Indoor Localization Accuracy Using Commodity WiFi

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

We present a Multi-step optimization Localization Algorithm (MoLA) for improved accuracy of indoor localization by WiFi. Using consumer-grade WiFi devices, we can determine the location of an object carrying WiFi device with higher accuracy than the comparable popular systems. MoLA removes the phase error by using calibration, then estimates the angle-of-arrival (AoA) of the signal by combining I-MUSIC algorithm and the minimum description length (MDL) equation. The line-of-sight (LoS) path is identified using our novel estimator function. In the last step, the object location is estimated. Extensive measurement experiments have shown that MoLA can achieve improvement in both median localization and point localization error in a 290 m2 environment having adequate LoS with a single receiver.

Original languageEnglish
Title of host publication2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1267-1272
Number of pages6
ISBN (Electronic)9781728175867
DOIs
Publication statusPublished - 13 Sep 2021
Event32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021 - Virtual, Helsinki, Finland
Duration: 13 Sep 202116 Sep 2021

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2021-September

Conference

Conference32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
Country/TerritoryFinland
CityVirtual, Helsinki
Period13/09/2116/09/21

Keywords

  • Indoor localization
  • WiFi
  • channel state information
  • performance analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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