- News
- Subject and Goals
- Council and Annual Reports
- Contacts and Working Groups
- Lectures and Presentations
- Conferences and Seminars
- Publications
- Application Demos
- International Travels
- Visitors
- Past Events
- E-Synergy Login
SEARCH
MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
A survey of sample size adaptation techniques for particle filters
Typ:
Conference paper
Authors:
Proceedings name:
Proceedings of the 15th IFAC Symposium on System Identification
Serie:
Saint-Malo, France
Year:
2009
Pages:
1358-1363
Keywords:
state estimation, particle filter, sample size, adaptation
URL (www page):
attachment1:
clanek_SYSID09_OS.pdf [file]
attachment2:
prezentace_SYSID09_OS.pdf [file]
Anotation:
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.