Abstract
An adaptive sequential adjustment and an adaptive robust sequential adjustment are presented on basis of the adaptive filtering and the robust estimation principles. The corresponding estimation formulae of the parameters in both the adaptive sequential adjustment and the adaptive robust sequential adjustment are also derived. The calculation results based on a numerical example show that the adaptive sequential adjustment can efficiently resist the abnormal influence from the prior model information and well balance the prior model information and the posterior observation information as well, and the adaptive robust sequential adjustment is not only simple in calculation but also can efficiently resist the bad influences from the abnormal disturbance in the prior information model parameters and the measurement outliers in the estimated parameters.
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© 2008 Springer-Verlag Berlin Heidelberg
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Sui, L., Liu, Y., Wang, W., Fan, P. (2008). Adaptive Robust Sequential Adjustment. In: Xu, P., Liu, J., Dermanis, A. (eds) VI Hotine-Marussi Symposium on Theoretical and Computational Geodesy. International Association of Geodesy Symposia, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74584-6_40
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DOI: https://doi.org/10.1007/978-3-540-74584-6_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74583-9
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