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A Survey of Selected Indoor Positioning Methods for Smartphones

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Details

Original languageEnglish
Pages (from-to)1347-1370
Number of pages45
JournalIEEE Communications Surveys and Tutorials
Volume19
Issue number2
Early online date2016
DOIs
Publication statusPublished - 2017
Publication typeA1 Journal article-refereed

Abstract

This paper provides an overview of the most significant existing methods for indoor positioning on a contemporary smartphone. The approaches include Wi-Fi and Bluetooth based positioning, magnetic field fingerprinting, map aided navigation using building floor plans, and aiding from self-contained sensors. Wi-Fi and Bluetooth based positioning methods considered in this survey are fingerprint approaches that determine a user’s position using a database of radio signal strength measurements that were collected earlier at known locations. Magnetic field fingerprinting can be used in an information fusion algorithm to improve positioning. The map-matching algorithms include application of wall constraints, topological indoor maps, and building geometry for heading correction. Finally, methods for step counting, step length and direction estimation, orientation tracking, motion classification, transit mode detection, and floor change detection in multi-storey buildings are discussed.

Keywords

  • BLE, IMU, Indoor positioning, WLAN, fingerprinting, magnetometer, map-matching

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Field of science, Statistics Finland

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