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Coarse alignment of marine strapdown inertial navigation system using the location of fitted parametric circle of gravity movement

Published online by Cambridge University Press:  05 March 2021

Hossein Rahimi
Affiliation:
K. N. Toosi University of Technology, Tehran, Iran
Amir Ali Nikkhah*
Affiliation:
K. N. Toosi University of Technology, Tehran, Iran
*
*Corresponding author. E-mail: nikkhah@kntu.ac.ir

Abstract

This paper presents a novel estimation method for coarse alignment of a marine strapdown inertial navigation system (SINS) under mooring conditions. The properties of gravitational motion are used to improve the accuracy of coarse alignment. The parametric motion of gravitational apparent is a circle that is on the surface of a sphere. The location of this parametric circle is dependent on the definition of the reference frames and the initial angles of SINS. In the method proposed here the initial direct cosine matrix is calculated only from the location of the gravity motion parametric circle. The novelty of this paper is to provide a new method for estimating the gravity motion trajectory in inertial frame, as well as direct extraction of the initial direct cosine matrix from this estimated trajectory. Simulation and testing show that the proposed method is suitable for coarse alignment in mooring conditions.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2021

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References

Chang, L., Hu, B., Li, A. and Qin, F. (2013). Strapdown inertial navigation system alignment based on marginalised unscented Kalman filter. IET Science, Measurement & Technology, 7(2), 128138.CrossRefGoogle Scholar
Gao, W., Ben, Y., Zhang, X., Li, Q. and Yu, F. (2011). Rapid fine strapdown INS alignment method under marine mooring condition. IEEE Transactions on Aerospace and Electronic Systems, 47(4), 28872896.CrossRefGoogle Scholar
Gu, D., El-Sheimy, N., Hassan, T. and Syed, Z. (2008). Coarse Alignment for Marine SINS Using Gravity in the Inertial Frame as Reference. In 2008 IEEE/ION Position, Location and Navigation Symposium. IEEE, 961965.CrossRefGoogle Scholar
Liu, X., Xu, X., Zhao, Y., Wang, L. and Liu, Y. (2014). An initial alignment method for strapdown gyrocompass based on gravitational apparent motion in inertial frame. Measurement, 55, 593604.CrossRefGoogle Scholar
Markley, F. L. and Mortari, D. (1999). How to estimate attitude from vector observations. In Proceedings of the AAS/AIAA Astrodynamics Specialist Conference (Vol. 103, No. 3, pp. 1979–1996).Google Scholar
Nelles, O. (2002). Nonlinear system identification (1st ed). New York: Springer-Verlag.Google Scholar
Rahimi, H. and Nikkhah, A. A. (2020). Improving the calibration process of inertial measurement unit for marine applications. Navigation, 112. doi:10.1002/navi.400.Google Scholar
Sun, F. and Sun, W. (2010). Mooring alignment for marine SINS using the digital filter. Measurement, 43(10), 14891494.CrossRefGoogle Scholar
Tan, C., Zhu, X., Su, Y., Wang, Y., Wu, Z. and Gu, D. (2015). A new analytic alignment method for a SINS. Sensors, 15(11), 2793027953.CrossRefGoogle ScholarPubMed
Titterton, D., and Weston, J. (2004). Strapdown Inertial Navigation Technology. 2nd ed., The Institution of Engineering and Technology. London, UK, and Reston, Va.CrossRefGoogle Scholar
Wahba, G. (1965). A least squares estimate of spacecraft attitude. SIAM Review, 7(3), 409.CrossRefGoogle Scholar
Zhao, L., Guan, D., Cheng, J., Xu, X. and Fei, Z. (2016). Coarse alignment of marine strapdown INS based on the trajectory fitting of gravity movement in the inertial space. Sensors, 16(10), 1714.CrossRefGoogle ScholarPubMed