Bearings-only tracking of manoeuvring targets using particle filters

DOI10.1155/S1110865704405095zbMath1076.93039OpenAlexW2140745919MaRDI QIDQ1773810

T. Mansell, M. Sanjeev Arulampalam, Neil A. Gordon, Branko Ristic

Publication date: 3 May 2005

Published in: EURASIP Journal on Applied Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/s1110865704405095

zbMATH Keywords

Monte Carlo simulationsextended Kalman filterparticle filtersCramér-Rao lower boundjump Markov systembearings-only trackinginteracting multiple model filtersmanoeuvering target tracking

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Monte Carlo methods (65C05)

Related Items (7)

Self-adaptive differential evolution-based multiple model variable rate particle filter for trajectory tracking ⋮ A variable neighborhood search particle filter for bearings-only target tracking ⋮ Improved nonlinear observable degree analysis using data fusion ⋮ H-infinity filtering for a class of nonlinear discrete-time systems based on unscented transform ⋮ An IMM filter defined in the linear-circular domain, application to maneuver detection with heading only ⋮ Convex saturated particle filter ⋮ Monocular passive ranging of maneuvering intruder for UAS detect‐and‐avoid

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