Labeled RFS Filters

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 7 in Target Tracking with Random Finite Sets, 2023, pp 161-206 from Springer

Abstract: Abstract The core of random finite sets (RFS) methods is the multi-target Bayesian filter [14, 15], which recursively propagates the filtering density of the multi-target state over time. Strictly speaking.

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_7

Ordering information: This item can be ordered from
http://www.springer.com/9789811998157

DOI: 10.1007/978-981-19-9815-7_7

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 ().