Mixed labelling in multitarget particle filtering

Y. Boers; Egils Sviestins; Hans Driessen

doi:10.1109/TAES.2010.5461657

Mixed labelling in multitarget particle filtering

Y. Boers
, Egils Sviestins
, Hans Driessen

Research output: Contribution to journal › Article › Academic › peer-review

41 Citations (Scopus)

181 Downloads (Pure)

Abstract

The so-called mixed labelling problem inherent to a joint state multitarget particle filter implementation is treated. The mixed labelling problem would be prohibitive for track extraction from a joint state multitarget particle filter. It is shown, using the theory of Markov chains, that the mixed labelling problem in a particle filter is inherently self-resolving. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps. Extensive quantitative analyses of these influencing factors are provided.

Original language	Undefined
Pages (from-to)	792-802
Number of pages	11
Journal	IEEE transactions on aerospace and electronic systems
Volume	46
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2010.5461657
Publication status	Published - 2010

Keywords

EWI-18948
Particle filter
Target tracking
METIS-275733
IR-75072

Access to Document

10.1109/TAES.2010.5461657

IEEE_TAES_MIX_LABEL_2010

Cite this

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