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Citation
: Adaptive Choice of Scaling Parameter in Derivative-Free Local Filters . Proceedings of the 13th International Conference on Information Fusion, Edinburgh, UK, 2010.
Abstract
The paper deals with adaptive choice of the scaling parameter in derivative-free local filters. In the last decade several novel local derivative-free filtering methods have been proposed. These methods exploiting Stirling?s interpolation and the unscented transformation are, however, conditioned by specification of a scaling parameter significantly influencing the quality of the state estimate. Surprisingly, almost no attention has been devoted to a suitable choice of the parameter. In fact, only a few basic recommendations have been provided, which are rather general and do not respect the particular system description. The choice of the parameter thus remains mainly on a user. The goal of the paper is to provide a technique for adaptive choice of the scaling parameter of the derivative-free local filters.
Detail of publication
| Title: | Adaptive Choice of Scaling Parameter in Derivative-Free Local Filters |
|---|---|
| Author: | Duník Jindřich ; Šimandl Miroslav ; Straka Ondřej |
| Language: | English |
| Year: | 2010 |
| Type of publication: | Papers in proceedings of reviewed conferences |
| Title of journal or book: | Proceedings of the 13th International Conference on Information Fusion |
| Address: | Edinburgh, UK |
| Date: | 29 Jul 2010 |
Keywords
state estimation, nonlinear filtering, Kalman filtering
BibTeX
@INPROCEEDINGS{DunikJindrich_2010_AdaptiveChoiceof,
author = {Dun\'{i}k Jind\v{r}ich and \v{S}imandl Miroslav and Straka Ond\v{r}ej},
title = {Adaptive Choice of Scaling Parameter in Derivative-Free Local Filters},
year = {2010},
journal = {Proceedings of the 13th International Conference on Information Fusion},
address = {Edinburgh, UK},
url = {http://www.kky.zcu.cz/en/publications/DunikJindrich_2010_AdaptiveChoiceof},
}