Maolin Tan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maolin Tan has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guiling Zhao
School of Geomatics, Liaoning Technical University, Fuxin, China
1 shared publication - Shuai Gao
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
1 shared publication - Weidong Liang
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
1 shared publication - Zhe Liang
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
1 shared publication - Zhijian Chen
Dalian Naval Academy
1 shared publication
Latest Publications
- Open Access
- 21 March 2023
- Published by MDPI AG in Micromachines
- Vol. 14 (3) , 697
Research on IMU Calibration Model Based on Polar Decomposition
As an important deterministic error of the inertial measurement unit (IMU), the installation error has a serious impact on the navigation accuracy of the strapdown inertial navigation system (SINS). The impact becomes more severe in a highly dynamic application environment. This paper proposes a new IMU calibration model based on polar decomposition. Using the new model, the installation error is decomposed into a nonorthogonal error and a misalignment error. The compensation of the IMU calibration model is decomposed into two steps. First, the nonorthogonal error is compensated, and then the misalignment error is compensated. Based on the proposed IMU calibration model, we used a three-axis turntable to calibrate three sets of strapdown inertial navigation systems (SINS). The experimental results show that the misalignment errors are larger than the nonorthogonal errors. Based on the experimental results, this paper proposes a new method to simplify the installation error. This simplified method defines the installation error matrix as an antisymmetric matrix composed of three misalignment errors. The navigation errors caused by the proposed simplified calibration model are compared with the navigation errors caused by the traditional simplified calibration model. The 48-h navigation experiment results show that the proposed simplified calibration model is superior to the traditional simplified calibration model in attitude accuracy, velocity accuracy, and position accuracy.
- 21 March 2023
- Published by MDPI AG in Micromachines
- Vol. 14 (3) , 697
Open AccessResearch on IMU Calibration Model Based on Polar Decomposition
As an important deterministic error of the inertial measurement unit (IMU), the installation error has a serious impact on the navigation accuracy of the strapdown inertial navigation system (SINS). The impact becomes more severe in a highly dynamic application environment. This paper proposes a new IMU calibration model based on polar decomposition. Using the new model, the installation error is decomposed into a nonorthogonal error and a misalignment error. The compensation of the IMU calibration model is decomposed into two steps. First, the nonorthogonal error is compensated, and then the misalignment error is compensated. Based on the proposed IMU calibration model, we used a three-axis turntable to calibrate three sets of strapdown inertial navigation systems (SINS). The experimental results show that the misalignment errors are larger than the nonorthogonal errors. Based on the experimental results, this paper proposes a new method to simplify the installation error. This simplified method defines the installation error matrix as an antisymmetric matrix composed of three misalignment errors. The navigation errors caused by the proposed simplified calibration model are compared with the navigation errors caused by the traditional simplified calibration model. The 48-h navigation experiment results show that the proposed simplified calibration model is superior to the traditional simplified calibration model in attitude accuracy, velocity accuracy, and position accuracy.