Improved Uncooperative Spacecraft Maneuver Detection with Space-based Optical Observations
Xuejian Mao, Pei Liu, Pei Chen

TL;DR
This paper presents an improved method for detecting uncooperative spacecraft maneuvers using space-based optical observations, accounting for long-duration maneuvers and estimating maneuver parameters more accurately.
Contribution
It introduces a novel approach that considers maneuver duration and estimates start/end times and thrust vectors, enhancing detection over previous impulsive models.
Findings
Successfully applied to Sentinel-3A and Sentinel-6A data
Effectively estimates maneuver start/end times and thrust directions
Handles long-duration maneuvers better than impulsive models
Abstract
Building and maintaining a space object catalog is necessary for space situational awareness. To realize this, one great challenge is uncooperative spacecraft maneuver detection because unknown maneuver events can lead to deviated orbital predictions and losses of tracking. Nowadays, more and more spacecraft equip electric propulsion and perform long-duration maneuvers to realize orbital transfer. Previous studies have investigated impulsive maneuver detection with space surveillance data. But, the developed method does not suffice for cases where maneuver durations are long. In this study, an improved uncooperative spacecraft maneuver detection method with space-based optical observations is proposed. Instead of a sudden maneuver event, the maneuver duration is considered. The maneuver starting/ending times are estimated along with the thrust acceleration vector. The angular residuals…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpace Satellite Systems and Control · Fault Detection and Control Systems · Astro and Planetary Science
