Estimation and Compensation of G-Sensitivity in Low-Cost MEMS Inertial Sensors

This paper presents a unified method for estimating and compensating g-sensitivity in low-cost MEMS gyroscope sensors. To estimate g-sensitivity, we propose a six-point calibration method. With the estimated g-sensitivity, we perform linear compensation of the gyroscope's g-sensitivity with the assistance of an accelerometer, by introducing generalized gyroscope bias into the gyroscope calibration model. The proposed method for g-sensitivity estimation and compensation does not require kinematic or dynamic equations, nor parameter adjustments. We have implemented the proposed scheme on a series of low-cost MEMS inertial sensors. Experimental results have shown that the proposed g-sensitivity estimation and compensation scheme improves gyroscope bias calibration accuracy, leading to a reduction in both attitude and position errors. Furthermore, the experiments have validated the stability, robustness, and reproducibility of the scheme in estimating and compensating g-sensitivity.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/inertial63280.2025.11036938
Primary Topic
Inertial Sensor and Navigation
Type
article
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article

Estimation and Compensation of G-Sensitivity in Low-Cost MEMS Inertial Sensors

Jing Liu, Jürgen Gut
Inertial Sensor and Navigation
article

Estimation and Compensation of G-Sensitivity in Low-Cost MEMS Inertial Sensors

Jing Liu, Jürgen Gut
article en

Abstract

This paper presents a unified method for estimating and compensating g-sensitivity in low-cost MEMS gyroscope sensors. To estimate g-sensitivity, we propose a six-point calibration method. With the estimated g-sensitivity, we perform linear compensation of the gyroscope's g-sensitivity with the assistance of an accelerometer, by introducing generalized gyroscope bias into the gyroscope calibration model. The proposed method for g-sensitivity estimation and compensation does not require kinematic or dynamic equations, nor parameter adjustments. We have implemented the proposed scheme on a series of low-cost MEMS inertial sensors. Experimental results have shown that the proposed g-sensitivity estimation and compensation scheme improves gyroscope bias calibration accuracy, leading to a reduction in both attitude and position errors. Furthermore, the experiments have validated the stability, robustness, and reproducibility of the scheme in estimating and compensating g-sensitivity.

Robert Bosch (Germany) (DE)
Openalex Percentile: Top 81%
Inertial Sensor and Navigation
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Estimation and Compensation of G-Sensitivity in Low-Cost MEMS Inertial Sensors — Jing Liu, Jürgen Gut · (2025) | TGRS Research Map | TGRS