MEMS-based rotary strapdown inertial navigation system

Author:

Sun Wei,Wang Daxue,Xu Longwei,Xu Lingling

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference17 articles.

1. S. Nassar, Improving the Inertial Navigation System (INS) Error Model for INS and INS/DGPS Applications, PhD Thesis, Department of Geomatics Engineering, The University of Calgary, Canada, 2003.

2. S. Nassar, K.P. Schwarz, N. El-Sheimy, INS and INS/GPS Accuracy improvement using autoregressive modeling of INS sensor errors, in: Proceedings of ION NTM, 26-28 January, San Diego, California, USA, 2004.

3. X. Niu, T. Hassan, C. Ellum, N. El-Sheimy, Directly georeferencing terrestrial imagery using MEMS-based INS/GNSS integrated systems, XXIII FIG Congress. Munich, Germany, October 8–13, 2006.

4. E. Shin, X. Niu, N. El-Sheimy, Performance comparison of the extended and the unscented Kalman filter for integrated GPS and MEMS-based inertial systems, in: Proceedings of ION NTM, 24–26 January, San Diego, CA, 2005, pp. 961–969.

5. E. Shin, Estimation Techniques for Low-Cost Inertial Navigation, PhD Thesis, Department of Geomatics Engineering, University of Calgary, Canada, 2005.

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