Abstract
This paper describes an improved strong tracking filter(ISTF). In this improved algorithm, it ensures the symmetry of forecast error covariance. In addition, an equation of the time-varying fading factor is derived from the orthogonality principle conditions of strong tracking filter. Through iteration, the calculation of time-varying fading factor away from the dependence on prior knowledge. A simulation under the two-dimensional space model system of moving objects is presented. Simulation indicates that the improved algorithm has better tracking ability and numerical stability!
This work is supported by the Science and Technology Foundation of Tianjin (08zckfgx04000).
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© 2011 Springer-Verlag Berlin Heidelberg
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Wei, W., Aidi, W. (2011). An Improved Strong Tracking Filter. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25194-8_34
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DOI: https://doi.org/10.1007/978-3-642-25194-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25193-1
Online ISBN: 978-3-642-25194-8
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