TY - GEN
T1 - Hybrid Domain Error Suppression
T2 - 10th International Conference on Control and Robotics Engineering, ICCRE 2025
AU - He, Guoyuan
AU - Liu, Mingyong
AU - Yuan, Guangmin
AU - Xuan, Liwei
AU - Li, Xiaoying
AU - Chang, Honglong
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Micro-Electro-Mechanical Systems Inertial Measurement Units (MEMS-IMUs) are widely used in navigation systems due to their low cost and compact size. However, their accuracy is limited by inherent sensor drift and noise, especially in long-duration applications. To address these challenges, this paper proposes a single-axis rotation modulation approach based on a MEMS-IMU differential array configuration. By integrating eight IMUs in a synchronized rotating structure, the method exploits spatial redundancy and periodic rotational motion to suppress random errors and bias drift. The principle of the method is described in detail, and the corresponding mathematical model is established. Experimental results show that the navigation error of the proposed method is reduced by an order of magnitude compared to the traditional single MEMS-IMU system, which verifies the effectiveness of the proposed method. This approach provides a cost-effective solution for improving MEMS-IMU performance in autonomous vehicles, drones, and robotic systems that require high-precision inertial navigation.
AB - Micro-Electro-Mechanical Systems Inertial Measurement Units (MEMS-IMUs) are widely used in navigation systems due to their low cost and compact size. However, their accuracy is limited by inherent sensor drift and noise, especially in long-duration applications. To address these challenges, this paper proposes a single-axis rotation modulation approach based on a MEMS-IMU differential array configuration. By integrating eight IMUs in a synchronized rotating structure, the method exploits spatial redundancy and periodic rotational motion to suppress random errors and bias drift. The principle of the method is described in detail, and the corresponding mathematical model is established. Experimental results show that the navigation error of the proposed method is reduced by an order of magnitude compared to the traditional single MEMS-IMU system, which verifies the effectiveness of the proposed method. This approach provides a cost-effective solution for improving MEMS-IMU performance in autonomous vehicles, drones, and robotic systems that require high-precision inertial navigation.
KW - MEMS-IMU array
KW - differential fusion
KW - inertial navigation system
KW - rotation modulation
UR - https://www.scopus.com/pages/publications/105013680392
U2 - 10.1109/ICCRE65455.2025.11093516
DO - 10.1109/ICCRE65455.2025.11093516
M3 - 会议稿件
AN - SCOPUS:105013680392
T3 - 2025 10th International Conference on Control and Robotics Engineering, ICCRE 2025
SP - 235
EP - 240
BT - 2025 10th International Conference on Control and Robotics Engineering, ICCRE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 May 2025 through 11 May 2025
ER -