A model-based and efficient parameters correction method for low-cost MEMS IMU

Abstract With the wide use of intelligent mobile terminals, inertial measurement unit (IMU) made by micro-electromechanical system (MEMS) has become an important part of their positioning systems. MEMS IMU has advantages of low cost, low power consumption and small size. However, the scale factor error, nonorthogonality error, and bias affect the measurement accuracy of MEMS IMU. In this paper, the output data of MEMS IMU at the six-position were analyzed and modelled. A parameter correction method based on the model was proposed for obtaining more accurate scale factor, nonorthogonality parameters and bias. The proposed method has low-cost and the obtained parameters’ accuracy are consistency. Ten groups of two MEMS IMUs parameter correction experiments show that the parameters obtained by the proposed method have small fluctuation and high consistency. The rotation navigation test shows that the navigation errors of the corrected data of one MEMS IMU reduce to 15.2 %, 9.3% and 5.1% in the east, north and up directions compared with the position errors of the original data, which proves the effectiveness of the proposed method.

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Publication Details

Journal
Measurement Science and Technology
Published
2024-11-21
DOI
https://doi.org/10.1088/1361-6501/ad9513
Citations
6
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
7.79
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article

A model-based and efficient parameters correction method for low-cost MEMS IMU

Hualong Ye, Tongxu Xu, Xiang Xu, Lingling Zhang
6 citations
Measurement Science and Technology
Inertial Sensor and Navigation
7.79
article

A model-based and efficient parameters correction method for low-cost MEMS IMU

Hualong Ye, Tongxu Xu, Xiang Xu, Lingling Zhang
article en
6 citations

Abstract

Abstract With the wide use of intelligent mobile terminals, inertial measurement unit (IMU) made by micro-electromechanical system (MEMS) has become an important part of their positioning systems. MEMS IMU has advantages of low cost, low power consumption and small size. However, the scale factor error, nonorthogonality error, and bias affect the measurement accuracy of MEMS IMU. In this paper, the output data of MEMS IMU at the six-position were analyzed and modelled. A parameter correction method based on the model was proposed for obtaining more accurate scale factor, nonorthogonality parameters and bias. The proposed method has low-cost and the obtained parameters’ accuracy are consistency. Ten groups of two MEMS IMUs parameter correction experiments show that the parameters obtained by the proposed method have small fluctuation and high consistency. The rotation navigation test shows that the navigation errors of the corrected data of one MEMS IMU reduce to 15.2 %, 9.3% and 5.1% in the east, north and up directions compared with the position errors of the original data, which proves the effectiveness of the proposed method.

Measurement Science and TechnologyVol. 36(1)
Suzhou University of Technology (CN), Nanjing University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 3%
Inertial Sensor and Navigation
7.79
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