Networked sensor management and data rate control for tracking maneuvering targets

TitleNetworked sensor management and data rate control for tracking maneuvering targets
Publication TypeJournal Article
Year of Publication2005
AuthorsEvans, R., V. Krishnamurthy, G. Nair, and L. Sciacca
JournalSignal Processing, IEEE Transactions on
Volume53
Pagination1979 - 1991
Date Publishedjun.
ISSN1053-587X
Keywordsdata rate control, dynamic programming, hidden Markov model, hidden Markov models, interacting multiple model, linear systems, maneuvering target tracking, Markov linear system, networked sensor management, optimal control, particle filter, probabilistic data association algorithm, probability, sensor selection, target tracking, telecommunication control, telecommunication network management
Abstract

This paper presents sensor and data rate control algorithms for tracking maneuvering targets. The manuevering target is modeled as a jump Markov linear system. We present novel extensions of the Interacting Multiple Model (IMM), Particle filter tracker, and Probabilistic Data Association (PDA) algorithms to handle sensor and data rate control. Numerical studies illustrate the performance of these sensor and data rate control algorithms.

URLhttp://dx.doi.org/10.1109/TSP.2005.847829
DOI10.1109/TSP.2005.847829

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