A Study on Altitude Estimation in Multi-floor Environments Using Smartphone Barometer

Altitude estimation by Global Positioning System (GPS) is unreliable in multi-floor environments, and barometer readings can be affected by temporal atmospheric pressure variations, complicating floor-level determination. To address these issues, this study proposes a method that utilizes pressure data from both reference and mobile stations to estimate user altitude and floor level. A database is constructed by recording pressure data from reference and mobile stations at reference points (RPs) on each floor, from which differential altitudes are calculated. Finally, the user’s altitude and floor level are estimated by comparing real-time differential altitudes with the database. Simulations and real-time experiments demonstrate that the proposed method accurately estimates the user’s floor levels.

Publication Details

Journal
Journal of Institute of Control Robotics and Systems
Published
2025-11-11
DOI
https://doi.org/10.5302/j.icros.2025.25.0165
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

A Study on Altitude Estimation in Multi-floor Environments Using Smartphone Barometer

Journal of Institute of Control Robotics and Systems
Indoor and Outdoor Localization Technologies
article

A Study on Altitude Estimation in Multi-floor Environments Using Smartphone Barometer

article en

Abstract

Altitude estimation by Global Positioning System (GPS) is unreliable in multi-floor environments, and barometer readings can be affected by temporal atmospheric pressure variations, complicating floor-level determination. To address these issues, this study proposes a method that utilizes pressure data from both reference and mobile stations to estimate user altitude and floor level. A database is constructed by recording pressure data from reference and mobile stations at reference points (RPs) on each floor, from which differential altitudes are calculated. Finally, the user’s altitude and floor level are estimated by comparing real-time differential altitudes with the database. Simulations and real-time experiments demonstrate that the proposed method accurately estimates the user’s floor levels.

Journal of Institute of Control Robotics and SystemsVol. 31(11)
Openalex Percentile: Top 48%
Indoor and Outdoor Localization Technologies
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