The robust adaptive algorithm solves the status robust solution first, and calculates the adaptive factor by previous solution to adjust the dynamic model error. This article brings the ideas of dual adaptive factors, which the influence of different errors on the state estimations is adjusted by a respective adaptive factor in the case of both model information imprecise and observation gross. It derives the filter formula of the algorithm of the dual adaptive factors filtering, and provides the method of computing dual factors by referring single factors. Finally, it is compared between dual adaptive factors algorithm and robust adaptive algorithm by simulation, the results show that the dual adaptive factors algorithm can basically reach the normal state estimates obtained by normal observation in case of the observation gross errors; and it is to some extent waken the impact of the model inaccurate in the condition of the kinetic model for small-scale short time exception error occurring.
SU Tianxiang
,
WEN Yuanlan
,
ZHU Jun
. The Algorithm of the Dual Adaptive Factors Filtering[J]. Acta Geodaetica et Cartographica Sinica, 2015
, 44(1)
: 26
-31
.
DOI: 10.11947/j.AGCS.2015.20130286
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