Paper
28 February 2017 Analysis of a novel device-level SINS/ACFSS deeply integrated navigation method
Author Affiliations +
Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102562V (2017) https://doi.org/10.1117/12.2257645
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China
Abstract
The combination of the strap-down inertial navigation system(SINS) and the celestial navigation system(CNS) is one of the popular measures to constitute the integrated navigation system. A star sensor(SS) is used as a precise attitude determination device in CNS. To solve the problem that the star image obtained by SS is motion-blurred under dynamic conditions, the attitude-correlated frames(ACF) approach is presented and the star sensor which works based on ACF approach is named ACFSS. Depending on the ACF approach, a novel device-level SINS/ACFSS deeply integrated navigation method is proposed in this paper. Feedback to the ACF process from the error of the gyro is one of the typical characters of the SINS/CNS deeply integrated navigation method. Herein, simulation results have verified its validity and efficiency in improving the accuracy of gyro and it can be proved that this method is feasible.
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Hao Zhang, Shiqiao Qin, Xingshu Wang, Guangwen Jiang, Wenfeng Tan, and Wei Wu "Analysis of a novel device-level SINS/ACFSS deeply integrated navigation method", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102562V (28 February 2017); https://doi.org/10.1117/12.2257645
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KEYWORDS
Navigation systems

Stars

Star sensors

Gyroscopes

Image sensors

Sensors

Transform theory

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