A Survey of Sample Size Adaptation Techniques for Particle Filters

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A43898472" target="_blank" >RIV/49777513:23520/09:43898472 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3182/20090706-3-FR-2004.00226" target="_blank" >http://dx.doi.org/10.3182/20090706-3-FR-2004.00226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20090706-3-FR-2004.00226" target="_blank" >10.3182/20090706-3-FR-2004.00226</a>

Result language
angličtina
Original language name
A Survey of Sample Size Adaptation Techniques for Particle Filters
Original language description
The paper deals with the particle filter in discrete-time nonlinear non-Gaussian system state estimation. One of the key parameters affecting estimate quality of the particle filter is the sample size. In the literature, there is a number of techniques coming from various ideas that aim at adapting the sample size while keeping quality in some sense fixed. The goal of the paper is to provide a survey of sample size adaptation techniques, to classify them and to discuss various aspects concerning the techniques.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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