Multi-Bernoulli Filter
Weihua Wu,
Hemin Sun,
Mao Zheng and
Weiping Huang
Additional contact information
Weihua Wu: Air Force Early Warning Academy
Hemin Sun: Air Force Early Warning Academy
Mao Zheng: Air Force Early Warning Academy
Weiping Huang: Air Force Early Warning Academy
Chapter Chapter 6 in Target Tracking with Random Finite Sets, 2023, pp 145-160 from Springer
Abstract:
Abstract Unlike the PHD and CPHD filters, which are respectively the first- and second-order moment approximations of the multi-target Bayesian recursion, the multi-Bernoulli (MB) filter is the probability density approximation of the complete multi-target Bayesian recursion.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9815-7_6
Ordering information: This item can be ordered from
http://www.springer.com/9789811998157
DOI: 10.1007/978-981-19-9815-7_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().