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Decentralized and robust target tracking with sensor networks
conference contribution
posted on 2008-01-01, 00:00 authored by Adrian Bishop, Pubudu PathiranaPubudu Pathirana, A SavkinIn this paper we address the problem of decentralized and robust linear filtering for target tracking using networks of (radar) sensors taking nonlinear range and bearing measurements. The algorithm introduced in this paper permits efficient data fusion from multiple sensors through a summation style fusion architecture. Moreover, we prove that the state estimation error for the linear filtering algorithm is bounded.
History
Event
International Federation of Automatic Control. World Congress (17th : 2008 : Seoul, Korea)Pagination
14969 - 14975Publisher
International Federation of Automatic ControlLocation
Seoul, KoreaPlace of publication
Seoul, KoreaStart date
2008-07-06End date
2008-07-11Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2008, IFACEditor/Contributor(s)
M Chung, P Misra, H ShimTitle of proceedings
IFAC World Congress 2008 : Proceedings of the 17th International Federation of Automatic Control. World CongressUsage metrics
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