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Description
| - The paper deals with state estimation of nonlinear dynamic stochastic systems with a special focus on advanced unscented Kalman filter algorithms. Two algorithms are considered: the adaptive unscented Kalman filter and the randomized unscented Kalman filter. Both algorithms construct one or several \s-points set used for an approximation of the conditional state moments. While the adaptive algorithm obtains a \s-point set by optimization of a criterion, the randomized algorithm constructs several sets randomly. In the paper, both algorithms are compared and a recommendation for an application of the algorithms is provided. The algorithms are illustrated in a bearings-only target tracking example.
- The paper deals with state estimation of nonlinear dynamic stochastic systems with a special focus on advanced unscented Kalman filter algorithms. Two algorithms are considered: the adaptive unscented Kalman filter and the randomized unscented Kalman filter. Both algorithms construct one or several \s-points set used for an approximation of the conditional state moments. While the adaptive algorithm obtains a \s-point set by optimization of a criterion, the randomized algorithm constructs several sets randomly. In the paper, both algorithms are compared and a recommendation for an application of the algorithms is provided. The algorithms are illustrated in a bearings-only target tracking example. (en)
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Title
| - Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms
- Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms (en)
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skos:prefLabel
| - Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms
- Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms (en)
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skos:notation
| - RIV/49777513:23520/14:43922876!RIV15-GA0-23520___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(EE2.3.30.0013), P(GC13-07058J), S
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/49777513:23520/14:43922876
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - unscented Kalman filter; Kalman filtering; Nonlinear filters; Estimation theory; State estimation (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the 17th International Conference on Information Fusion
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Straka, Ondřej
- Šimandl, Miroslav
- Duník, Jindřich
- Blasch, Erik
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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