"Spooky Action at a Distance" in the Cardinalized Probability Hypothesis Density Filter

The cardinalized probability hypothesis density (CPHD) filter is a recursive Bayesian algorithm for estimating multiple target states with varying target number in clutter. In the present work, it is shown that a missed detection in one part of the field of view has a significant effect on the proba...

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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 45; číslo 4; s. 1657 - 1664
Hlavní autori:	Franken, D., Schmidt, M., Ulmke, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aircraft components Algorithms Bayesian methods Clutter Density Electronic systems Equations Estimates Mathematical analysis Nonlinear filters Object detection Quantum entanglement Recursive Recursive estimation State estimation Target tracking
ISSN:	0018-9251, 1557-9603
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