Tracking of multiple maneuvering targets in clutter using multiple sensors, IMM, and JPDA coupled filtering

We consider the problem of tracking multiple maneuvering targets in clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach, the joint probabilistic data association (JPDA) technique an...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2004-01, Vol.40 (1), p.320-330
Main Author: Tugnait, J.K.
Format: Article
Language:English
Subjects:
Algorithms
Bayesian methods
Clutter
Computational complexity
Equations
Filtering
Filtering algorithms
Filters
Filtration
Maneuvering targets
Personal digital assistants
State estimation
Switching
Switching systems
Target tracking
Tracking
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Summary:We consider the problem of tracking multiple maneuvering targets in clutter using switching multiple target motion models. A novel suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach, the joint probabilistic data association (JPDA) technique and coupled target state estimation to a Markovian switching system. The algorithm is illustrated via a simulation example involving tracking of two highly maneuvering, at times closely spaced, targets.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2004.1292168