IMU Hand Calibration for Low-Cost MEMS Inertial Sensors

被引:2
|
作者
Al Jlailaty, Hussein [1 ]
Celik, Abdulkadir [2 ]
Mansour, Mohammad M. [1 ]
Eltawil, Ahmed M. [2 ]
机构
[1] Amer Univ Beirut AUB, Dept Elect & Comp Engn, Beirut 11072020, Lebanon
[2] King Abdullah Univ Sci & Technol KAUST, Dept Elect & Comp Engn, Thuwal 239556900, Saudi Arabia
关键词
Bias; calibration; global positioning system (GPS); hand; inertial measurement unit (IMU); lever arm; low-cost; microelectromechanical systems (MEMS); misalignment; offset; variance;
D O I
10.1109/TIM.2023.3301860
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article proposes a technique to calibrate a low-cost inertial measurement unit (IMU) in the field without relying on expensive laboratory-based equipment. The main parameters to be calibrated in any IMU are misalignment factors, sensitivity scale factors, and gyro and accelerometer biases, all of which are temperature-dependent. Usually, IMU manufacturers have highly accurate and expensive rate tables and centrifuges that can provide high-resolution angular rates to the equipment under test but require costly regular maintenance and highly trained technicians. We propose an alternative method of performing this calibration by hand in the field, using a special Kalman filter that benefits from zero-velocity measurement updates. The performance of the proposed calibration technique is evaluated and validated via extensive simulations and real experiments.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Calibration of Low-cost Triaxial Inertial Sensors
    Rohac, Jan
    Sipos, Martin
    Simanek, Jakub
    [J]. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2015, 18 (06) : 32 - 38
  • [2] Performance Enhancement of Low-Cost MEMS Inertial Sensors Using Extensive Calibration Technique
    Eldesoky, Abdalla
    Kamel, Ahmed M.
    Elhabiby, M.
    Elhennawy, Hadia
    [J]. 2017 34TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC), 2017, : 415 - 424
  • [3] Three-Step Autonomous Calibration Method for Low-Cost MEMS Inertial/Magnetic Sensors
    Shi, Ling-Feng
    Liu, Yu-Yu
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2022, 58 (05)
  • [4] Calibration of Low Cost IMU’s Inertial Sensors for Improved Attitude Estimation
    Mingjie Dong
    Guodong Yao
    Jianfeng Li
    Leiyu Zhang
    [J]. Journal of Intelligent & Robotic Systems, 2020, 100 : 1015 - 1029
  • [5] Calibration of Low Cost IMU's Inertial Sensors for Improved Attitude Estimation
    Dong, Mingjie
    Yao, Guodong
    Li, Jianfeng
    Zhang, Leiyu
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 100 (3-4) : 1015 - 1029
  • [6] Inertial Sensors: Further Developments in Low-Cost Calibration and Testing
    Berman, Zeev
    [J]. 2012 IEEE/ION POSITION LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2012, : 837 - 848
  • [7] Design and Implementation of an Inertial Navigation System for Pedestrians Based on a Low-Cost MEMS IMU
    Montorsi, Francesco
    Pancaldi, Fabrizio
    Vitetta, Giorgio M.
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (IEEE ICC), 2013, : 57 - 61
  • [8] A standard testing and calibration procedure for low cost MEMS inertial sensors and units
    Aggarwal, P.
    Syed, Z.
    Niu, X.
    El-Sheimy, N.
    [J]. JOURNAL OF NAVIGATION, 2008, 61 (02): : 323 - 336
  • [9] Novel Low Cost Calibration Methods for MEMS Inertial/Magnetic Integrated Sensors
    Ding, Zhijian
    Cai, Hong
    Yu, Chunmei
    Zhang, Wenjie
    [J]. 2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2014, : 505 - 511
  • [10] Practical Approaches to Allan Deviation Analysis of Low-Cost MEMS Inertial Sensors
    Hiller, Tobias
    Vujadinovic, Milos
    Blocher, Lukas
    Mayer, Wolfram
    Radovic, Dusan
    Balslink, Thorsten
    Northemann, Thomas
    Buhmann, Alexander
    [J]. 2023 IEEE INTERNATIONAL SYMPOSIUM ON INERTIAL SENSORS AND SYSTEMS, INERTIAL, 2023,