liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Forgetting in Marginalized Particle Filtering and its Relation to Forward Smoothing
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2011 (English)Report (Other academic)
Abstract [en]

The problem of degeneracy in marginalized particle filtering is addressed. In particular, we note that the degeneracy is caused by loss of entropy of the posterior distribution and design maximum entropy estimates to prevent this. The main technique used in this report is known as forgetting. Itis shown that it can be used to suppress the problem with degeneracy, however, it is not a proper cure for the problem of stationary parameters. The problem of marginal-marginalized particle filter for sufficient statistics is also studied. The resulting algorithm is found to have remarkable similarities with the algorithm known as forward smoothing.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2011. , 21 p.
LiTH-ISY-R, ISSN 1400-3902 ; 3009
Keyword [en]
Rao-Blackwellized particle filtering, maximum entropy principle, Bayesian filtering
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-97959ISRN: LiTH-ISY-R-3009OAI: diva2:650800
Available from: 2013-09-23 Created: 2013-09-23 Last updated: 2014-10-08Bibliographically approved

Open Access in DiVA

fulltext(1016 kB)91 downloads
File information
File name FULLTEXT01.pdfFile size 1016 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 91 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 169 hits
ReferencesLink to record
Permanent link

Direct link