Magnetic Distortion-Resistant Orientation Estimation

Inertial Measurement Unit (IMU) sensors, including accelerometer, gyroscope, and magnetometer, are used to estimate the orientation of mobile devices. However, indoor magnetic fields are commonly distorted, which causes the magnetometer’s readings to deviate from true north, resulting in inaccurate orientation estimation. Existing solutions either ignore the magnetic distortion or avoid using magnetometer when distortion is detected. In this article, we develop MDR , a Magnetic Distortion-Resistant orientation estimation system, which fundamentally models and resists magnetic distortion in orientation estimation. MDR builds a database to record the magnetic directions at different locations, and uses it to correct orientation estimation from magnetic distortion. MDR tackles two unique challenges. First, to avoid the overhead of database preparation, MDR adopts practical designs to automatically build and update the database via self-exploration. Second, to reduce errors in database operations, we design a set of techniques, and thus further improve orientation accuracy. Extensive experiments on arm motion data of 27+ hours show that MDR outperforms the state-of-the-art method by 44.5%.

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Publication Details

Journal
ACM Transactions on Sensor Networks
Published
2026-01-21
DOI
https://doi.org/10.1145/3788285
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
104.69
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article

Magnetic Distortion-Resistant Orientation Estimation

Sikai Yang, Wan Du, Miaomiao Liu
1 citations
ACM Transactions on Sensor Networks
Inertial Sensor and Navigation
104.69
article

Magnetic Distortion-Resistant Orientation Estimation

Sikai Yang, Wan Du, Miaomiao Liu
article en
1 citations

Abstract

Inertial Measurement Unit (IMU) sensors, including accelerometer, gyroscope, and magnetometer, are used to estimate the orientation of mobile devices. However, indoor magnetic fields are commonly distorted, which causes the magnetometer’s readings to deviate from true north, resulting in inaccurate orientation estimation. Existing solutions either ignore the magnetic distortion or avoid using magnetometer when distortion is detected. In this article, we develop MDR , a Magnetic Distortion-Resistant orientation estimation system, which fundamentally models and resists magnetic distortion in orientation estimation. MDR builds a database to record the magnetic directions at different locations, and uses it to correct orientation estimation from magnetic distortion. MDR tackles two unique challenges. First, to avoid the overhead of database preparation, MDR adopts practical designs to automatically build and update the database via self-exploration. Second, to reduce errors in database operations, we design a set of techniques, and thus further improve orientation accuracy. Extensive experiments on arm motion data of 27+ hours show that MDR outperforms the state-of-the-art method by 44.5%.

ACM Transactions on Sensor NetworksVol. 22(3)
University of California, Merced (US)
Openalex Percentile: Top 0%
Inertial Sensor and Navigation
104.69
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Magnetic Distortion-Resistant Orientation Estimation — Sikai Yang, Wan Du, et al. · ACM Transactions on Sensor Networks (2026) | TGRS Research Map | TGRS