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Initial Alignment for SINS Based on Pseudo-Earth Frame in Polar Regions
Yanbin Gao1, Meng Liu2, Guangchun Li3
1College of Automation, Harbin Engineering University, Harbin 150001, China. gaoyanbin@hrbeu.edu.cn.
This study introduces a new inertial navigation system (INS) initial alignment algorithm for polar regions. The method improves accuracy and simplifies polar navigation by using a pseudo-Earth frame and backward process.
Area of Science:
- Navigation Systems
- Geophysics
- Aerospace Engineering
Background:
- Accurate initial alignment is crucial for inertial navigation system (INS) performance and subsequent navigation accuracy.
- Traditional alignment methods are ineffective in polar regions due to rapid meridian convergence and weak horizontal Earth rotation components.
- Existing methods struggle with obtaining accurate coarse azimuth alignment in polar environments.
Purpose of the Study:
- To propose a novel initial alignment algorithm for INS in polar regions.
- To address the challenges of meridian convergence and azimuth misalignment in polar environments.
- To facilitate subsequent polar navigation system access and unify polar alignment algorithms.
Main Methods:
- Development of a novel alignment algorithm utilizing a pseudo-Earth frame and backward process.
- Design of dynamic error modeling to handle large azimuth misalignment angles.
- Validation through semi-physical static simulation and in-motion tests employing an unscented Kalman filter (UKF).
Main Results:
- The proposed algorithm achieves initial alignment in polar regions without position error influence.
- It successfully obtains the strapdown attitude matrix relative to the local geographic frame.
- Effectiveness validated by simulations and tests, demonstrating robustness with large azimuth misalignment.
Conclusions:
- The novel algorithm provides a convenient and accurate method for INS initial alignment in polar regions.
- It overcomes limitations of traditional methods in challenging polar conditions.
- The approach contributes to unifying polar alignment algorithms and external reference information.
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