Bayes-Optimal Set-Valued Tracking of Single Point Targets

Bayes-Optimal Set-Valued Tracking of Single Point Targets

Conventional single-point-target tracking algorithms are recursive point estimators with point-measurement input data. In less well-known approaches, the tracking algorithm is a recursive set estimator with point-measurement or set-measurement input data. This paper provides a very general, systemat...

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Bibliographic Details
Main Author: Ronald Paxton-Sheets Mahler
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Target tracking
random closed set
finite-set statistics
recursive Bayes filter
generalized measurement
generalized likelihood function
Online Access:https://ieeexplore.ieee.org/document/9422717/

Internet

https://ieeexplore.ieee.org/document/9422717/

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