Autonomous relative optical navigation based on unified modeling of external systematic errors

Systematic error Representation
DOI: 10.1016/j.cja.2023.08.015 Publication Date: 2023-08-23T15:51:04Z
ABSTRACT
To solve the problem that external systematic errors of optical camera cannot be fully estimated due to limited computing resources, a unified dimensionality reduction representation method for is proposed, and autonomous relative navigation realized. The translational misalignment are converted into three-dimensional rotation error, whose differential model can established through specific attitude control appropriate assumption. Then, error motion state jointly in an augmented Kalman filter framework. Compared with traditional estimates errors, proposed reduces computational complexity dimension reduced. Furthermore, as demonstrated by numerical simulation, estimation accuracy improved significantly.
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