Enhanced Dual-Axis Rotation Modulation Scheme for Inertial Navigation Systems Using a 64-Position Approach
Rotational modulation improves strapdown inertial navigation system (SINS) by periodically reorienting the inertial measurement unit (IMU) to convert slowly varying sensor errors into manageable, cancelable components. However, existing dual-axis schemes may accumulate large total rotation angles and introduce delayed error balancing, which results in non-negligible residual attitude errors and degrades real-time navigation accuracy. To overcome these limitations, we propose an odd-symmetric dual-axis rotation strategy that jointly optimizes the rotation order and dwell positions to maximize error cancellation on each axis and across axes while constraining cumulative rotation. Based on this principle, we design a 64-position rotation scheme and derive its IMU error modulation/suppression characteristics, including gyroscope drift, accelerometer bias, scale-factor errors, and misalignment (installation) errors, and we quantify their effects on attitude and velocity. Simulations show that the proposed scheme reduces position and velocity errors by more than 60% compared to a 16-position scheme, and decreases longitude error, east-velocity error, and yaw error by more than 30% relative to a 32-position scheme. Experiments further validate consistent improvements in position, velocity, and attitude accuracy, demonstrating the effectiveness of the proposed rotational design for dual-axis SINS.
Authors
- H Chen
- Dongbing Gu (ORCID: https://orcid.org/0000-0002-0986-2921)
- Wen Ye (ORCID: https://orcid.org/0000-0001-9769-9863)
- Zhaoyang Wang
- Cunxiao Miao
- Han Sun
Institutions
- University of Essex (GB)
- Henan University of Technology (CN)
- Guizhou Institute of Technology (CN)
- National Institute of Metrology (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Sensors
- Published
- 2026-03-12
- DOI
- https://doi.org/10.3390/s26061796
- Primary Topic
- Inertial Sensor and Navigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00