Abstract This paper is concerned with improving the attitude estimation accuracy by implementing an adaptive Gaussian sum filter where the a posteriori density function is approximated by a sum of Gaussian density functions. Compared to the traditional Gaussian sum filter, this adaptive approach utilizes the Fokker-Planck-Kolmogorov residual minimization to update the weights associated with different components of the Gaussian mixture model. Updating the weights provides an accurate approximation of the a posteriori density function and thus superior estimates. Simulation results show that updating the weights during the propagation stage not only provides better estimates between the observations but also provides superior estimator performance where the measurements are ambiguous.
Spacecraft Attitude Estimation Using Adaptive Gaussian Sum Filter
The Journal of the Astronautical Sciences ; 57 , 1-2
2009
Aufsatz (Zeitschrift)
Englisch
Spacecraft Attitude Estimation Using Adaptive Gaussian Sum Filter
Springer Verlag | 2009
|Spacecraft Attitude Estimation Using Adaptive Gaussian Sum Filter
Online Contents | 2009
|An Adaptive Gaussian Sum Filter for the Spacecraft Attitude Estimation Problem (AAS 08-262)
British Library Conference Proceedings | 2008
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