Global field-of-view imaging model and parameter optimization for high dynamic star tracker.

Area of Science:

• Astrodynamics and Spacecraft Navigation
• Optical Navigation Systems

Background:

• Traditional star trackers are inadequate for high dynamic environments due to increasing spacecraft maneuverability.
• Existing analyses do not account for the complexities of star motion in global field-of-view (GFOV) imaging under dynamic conditions.

Purpose of the Study:

• To investigate the global field-of-view (GFOV) imaging performance of a high dynamic star tracker (HDST).
• To develop models and methods for optimizing HDST performance in high-maneuverability scenarios.

Main Methods:

• Derived a GFOV imaging trajectory model to describe star motion across the focal plane.
• Developed a comprehensive positional accuracy expression by analyzing star centroiding errors.
• Presented a solution for GFOV optimal parameters to enhance centroid estimation accuracy.

Main Results:

• The proposed trajectory model accurately describes star movement in dynamic GFOV imaging.
• The positional accuracy expression quantifies centroiding errors in GFOV.
• Optimal GFOV parameters were determined for improved centroid estimation performance.

Conclusions:

• The developed models and parameter optimization provide a solution for HDST limitations in dynamic environments.
• Comparative evaluations, simulations, and experimental validation support the findings.
• This research enables more reliable star tracking for highly maneuverable spacecraft.