Abstract
Traditional Kalman filter can overcome the influence of observation noise error better than RLS. However, in high dynamic cases, the constant acceleration model and the practical model’s mismatch due to the rate of acceleration change can result in the reduction of the velocity’s precision calculated by navigation. In order to solve the problem, this paper proposes noise covariance matrix’s dynamic regulation and RLS auxiliary for optimization. The signal contained a turn movement simulated by GPS signal source is used to test the method and the result shows the optimized method can improve the vector precision under high dynamics and make the error decrease into an expectable range.
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Acknowledgments
The research is sponsored by China Aerospace Science Foundation (No. 20100851018) and National Science Foundation of China (No. 61039003).
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, H., Zhao, L. (2012). Optimization of GPS Receiver’s Kalman Filter Solution for Navigation Under High Dynamics. In: Sun, J., Liu, J., Yang, Y., Fan, S. (eds) China Satellite Navigation Conference (CSNC) 2012 Proceedings. Lecture Notes in Electrical Engineering, vol 161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29193-7_39
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DOI: https://doi.org/10.1007/978-3-642-29193-7_39
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