Enhanced Accuracy Navigation Solutions Realized through SINS/GPS Integrated Navigation System

Abstract:

Strapdown Inertial Navigation Systems (SINS) displays position errors which grow with time in an unbounded manner. This degradation is due to the errors in the initialization of the inertial measurement unit, and inertial sensor imperfections such as accelerometer biases and gyroscope drifts. Improvement to this unbounded growth in errors can be made by updating the inertial navigation system solutions periodically with external position fixes, velocity fixes, attitude fixes or any combination of these fixes. The increased accuracy is obtained through external measurements updating inertial navigation system using Kalman filter algorithm. It is the basic requirement that the inertial data and data from the external aids be combined in an optimal and efficient manner. In this paper an efficient method for integration of Strapdown Inertial Navigation System (SINS), Global Positioning System (GPS) is presented using a centralized linear Kalman filter.

• Periodical: Applied Mechanics and Materials (Volume 332)
• Pages: 79-85
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.332.79
• Online since: July 2013
• Authors: Outamazirt Fariz, Muhammad Ushaq, Yan Lin, Fu Li
• Keywords: Global Positioning System (GPS), Inertial Navigation, Integrated Navigation, Kalman Filter (KF)

References

[1] G. M. Siouris, Aerospace avionics systems: A Modern Synthesis [M], vol. 466. London, UK: Academic press Inc, 1993.

[2] D. Titterton and Weston, Strapdown inertial navigation technology [M], 2nd ed. Reston, USA: The Institution of Electrical Engineers, 2004.

[3] E.-H. Shin and N. El-Sheimy, Accuracy improvement of low cost INS/GPS for land applications. University of Calgary, Department of Geomatics Engineering, 2001.

[4] J. A. Farrell, AIDED NAVIGATION GPS with High Rate Sensors [M]. McGraw-Hill, 2008.

[5] H. Qi and J. B. Moore, "Direct Kalman filtering approach for GPS/INS integration," Aerospace and Electronic Systems, IEEE Transactions on, vol. 38, no. 2, p.687–693, 2002.

DOI: 10.1109/taes.2002.1008998

[6] Y. LI, J. FANG, and Z. JIA, "Simulation of INS/CNS/GPS Integrated Navigation [J]," Journal of Chinese Inertial Technology, vol. 6, p.1, 2002.

[7] K.-P. SCHWARZ, M. A. Chapman, M. W. Cannon, and P. Gong, "An integrated INS/GPS approach to the georeferencing of remotely sensed data," Photogrammetric engineering and remote sensing, vol. 59, no. 11, p.1667–1674, 1993.

[8] P. D. Groves, Principles of GNSS, inertial, and multisensor integrated navigation systems [M]. Artech House, 2008.

[9] F. X. Cao, D. K. Yang, A. G. Xu, J. Ma, W. D. Xiao, C. L. Law, K. V Ling, and H. C. Chua, "Low cost SINS/GPS integration for land vehicle navigation," in Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on, 2002, p.910–913.

DOI: 10.1109/itsc.2002.1041341

[10] C. Pingyuan and X. Tianlai, "Data fusion algorithm for INS/GPS/Odometer integrated navigation system [C]," in 2nd IEEE Conference on Industrial Electronics and Applications, 2007, p.1893–1897.

DOI: 10.1109/iciea.2007.4318739

[11] M. S. Grewal, L. R. Weill, and A. P. Andrews, Global positioning systems, inertial navigation, and integration [M]. Wiley-Interscience, 2007.

DOI: 10.1002/0470099720

[12] F. Caron, E. Duflos, D. Pomorski, and P. Vanheeghe, "GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects [J]," Information Fusion, vol. 7, no. 2, p.221–230, 2006.

DOI: 10.1016/j.inffus.2004.07.002

[13] M. Ushaq and J. Fang, "An Improved and Efficient Algorithm for SINS/GPS/Doppler Integrated Navigation Systems [J]," Applied Mechanics and Materials, vol. 245, no. 4, p.323–329, 2013.

DOI: 10.4028/www.scientific.net/amm.245.323

[14] W. Quan and B. Liu, INS/CNS/GNSS Integrated Navigation Technology (Chinese Book) [M]. 2011.