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

被引:1
作者
Xu, Tongxu [1 ]
Xu, Xiang [2 ]
Ye, Hualong [1 ]
Zhang, Lingling [1 ]
机构
[1] Changshu Inst Technol, Sch Elect & Informat Engn, Suzhou 215506, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210014, Peoples R China
基金
中国国家自然科学基金;
关键词
mobile terminal; MEMS IMU; parameter correction; navigation; SELF-CALIBRATION METHOD; IN-FIELD CALIBRATION;
D O I
10.1088/1361-6501/ad9513
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:16
相关论文
共 50 条
[31]   New jump trajectory determination method using low-cost MEMS sensor fusion and augmented observations for GPS/INS integration [J].
Sadi, Fazle ;
Klukas, Richard .
GPS SOLUTIONS, 2013, 17 (02) :139-152
[32]   Research on Reconstruction Method of 3-D Cable Shape Based on MEMS-IMU [J].
Cao, Chen ;
Li, Chunlai .
IEEE SENSORS JOURNAL, 2023, 23 (20) :25179-25188
[33]   A NEW CALIBRATION METHOD FOR LOW COST MEMS INERTIAL SENSOR MODULE [J].
Shen, Sheng-Chih ;
Chen, Chia-Jung ;
Huang, Hsin-Jung .
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2010, 18 (06) :819-824
[34]   A new calibration method for low cost mems inertial sensor module [J].
Shen S.-C. ;
Chen C.-J. ;
Huang H.-J. .
Journal of Marine Science and Technology, 2010, 18 (06) :819-824
[35]   Experimental Evaluation of Sensor Fusion of Low-Cost UWB and IMU for Localization under Indoor Dynamic Testing Conditions [J].
Liu, Chengkun ;
Kadja, Tchamie ;
Chodavarapu, Vamsy P. .
SENSORS, 2022, 22 (21)
[36]   Self-Alignment MEMS IMU Method Based on the Rotation Modulation Technique on a Swing Base [J].
Xing, Haifeng ;
Chen, Zhiyong ;
Yang, Haotian ;
Wang, Chengbin ;
Lin, Zhihui ;
Guo, Meifeng .
SENSORS, 2018, 18 (04)
[37]   Research on accuracy enhancement of low-cost MEMS INS/GNSS integration for land vehicle navigation [J].
Zhang, Quan ;
Niu, Xiaoji .
2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2018, :891-898
[38]   Velocity-Based Optimization-Based Alignment (VBOBA) of Low-End MEMS IMU/GNSS for Low Dynamic Applications [J].
Zhang, Quan ;
Li, Shanshan ;
Xu, Zhengpeng ;
Niu, Xiaoji .
IEEE SENSORS JOURNAL, 2020, 20 (10) :5527-5539
[39]   Simultaneous compensation of systematic errors of a low-cost MEMS triaxial accelerometer and its temperature dependency without accurate laboratory equipment [J].
Khankalantary, Saeed ;
Ranjbaran, Saeed ;
Mohammadkhani, Hassan .
SENSOR REVIEW, 2021, 41 (02) :208-215
[40]   Low Cost IMU Attitude Estimation Algorithm Based on Measurement Adaptive Reduced DCM [J].
Wei, Xiaofeng ;
Zhang, Ya ;
Fan, Shiwei ;
Gao, Wei ;
Shen, Feng ;
Ming, Xie ;
Wang, Yu .
IEEE SENSORS JOURNAL, 2025, 25 (01) :1428-1439