A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs
Rong Wang
(Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
Yuxuan Cao
(Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
Jianye Liu
(Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
Zhi Xiong
(Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
Journal: International Journal of Aerospace Engineering
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• Wiley
• ISSN: 1687-5966
Abstract
An aerospace vehicle in high-speed flight involves distributed multiple fields of view (FoVs) of a star sensor, and the maneuvering of the vehicle requires inertial-aided star pattern matching. Accordingly, an inertial-aided star pattern matching method for distributed multiple FoVs is proposed. First, the observation and fusion principles of distributed multiple FoVs are illustrated. Then, an inertial-aided star pattern matching scheme is designed based on the space-time distribution of the line-of sight (LoS) vector and inertial measurement information. Next, an LoS vector estimation method assisted by inertial information and the dynamic establishment of a distributed local catalog are proposed. Finally, in a simulation, the dynamic establishment of the part catalog improves the efficiency of star pattern matching by reducing the catalog scale, and the usability of inertial-aided star pattern matching is analyzed for different gyro and accelerometer precisions.
Rong Wang, Yuxuan Cao, Jianye Liu, et al. (2020). "A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs". International Journal of Aerospace Engineering. https://doi.org/10.1155/2020/2676210