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.
Highlights
An aerospace vehicle is a kind of advanced reusable vehicle for the future [1]
An analogy can be made between the celestial navigation system (CNS) in the cruise stage of an aerospace vehicle and the small-aperture star sensor that is applied in autonomous identification in a longrange and long-endurance vehicle (LRLEV), where a smallvolume sensor and availability during the day and night are ensured [2]
The star identification algorithm is researched for the attitude determination of a star sensor in the lost-in-space case, which uses label values to represent each group of stars [9]
Summary
An aerospace vehicle is a kind of advanced reusable vehicle for the future [1]. The multitask mode and maneuvering of an aerospace vehicle have considerable requirements in terms of autonomous navigation. In recent research on a multi-FoV fusion all-sky identification algorithm, Texas A&M University proposed the pyramid algorithm in [13], which identifies a feature based on the star vector inner product of 4 stars, and the SP search algorithm in [14], which searches a spherical polygon in a wide-FoV star sensor. These two algorithms were employed to achieve successful star identification with multi-FoV fusion in an orbit vehicle in [15]. With multiple small distributed FoVs on the aerospace vehicle and the method of star identification assisted by inertial measurement information mentioned above, an inertial-aided star pattern matching method for distributed multiple FoVs is proposed. A star pattern matching based on predicted local star catalog is proposed, whose magnitude is significantly reduced and the real-time performance is improved than the conventional star pattern matching method based on all-sky star catalog
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