A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs. (6th August 2020)

• Record Type: Journal Article
• Authors: Wang, Rong; Cao, Yuxuan; Liu, Jianye; Xiong, Zhi
• Other Names: Cervone Angelo Academic Editor.
• Is Part Of: International journal of aerospace engineering. Volume 2020(2020)
• Publication Date: 2020-08-06
• Subjects: Aerospace engineering -- Periodicals; 629.105
• DOI: 10.1155/2020/2676210
• Languages: English
• ISSNs: 1687-5966

Abstract

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.