Hybrid Domain Error Suppression: A Synergistic Inertial Navigation Architecture Integrating Rotation Modulation and MEMS-IMU Array

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.

Authors

Institutions

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/iccre65455.2025.11093516
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Domain Error Suppression: A Synergistic Inertial Navigation Architecture Integrating Rotation Modulation and MEMS-IMU Array

Guangmin Yuan, Mingyong Liu, Honglong Chang, Guoyuan He et al.
Inertial Sensor and Navigation
article

Hybrid Domain Error Suppression: A Synergistic Inertial Navigation Architecture Integrating Rotation Modulation and MEMS-IMU Array

Guangmin Yuan, Mingyong Liu, Honglong Chang, Guoyuan He, Xiaoying Li, Liwei Xuan
article en

Abstract

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.

Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Inertial Sensor and Navigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.