Application of state estimation to target tracking

DOI10.1109/TAC.1984.1103466zbMath0531.93053OpenAlexW2002460157MaRDI QIDQ3313740

J. A. Tabaczynski, Chaw Bing Chang

Publication date: 1984

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.1984.1103466

zbMATH Keywords

state estimationperformance evaluationtarget trackingnonlinear filtermultiple sensorsmultiple target environment

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (11)

Adaptive fading Kalman filter with an application ⋮ Bayesian estimation and the Kalman filter ⋮ Tracking a manoeuvring target using input estimation at high measurement frequency ⋮ Manoeuvring target tracking in a cluttered environment from noisy images by an adaptive probabilistic data association filter ⋮ Gain transfer: an algorithm for decentralized hierarchical estimation ⋮ Kalman filtering with unknown inputs via optimal state estimation of singular systems ⋮ Optimal pursuit of surveilling agents near a high value target ⋮ Two-dimensional model for estimating the efficiency of angular measurements in elliptic orbits ⋮ Adaptive tracking system for a manoeuvring target using images with correlated noises ⋮ Generalized pseudo-Bayes estimation and detection for abruptly changing systems ⋮ Trajectory estimation of manoeuvring re-entry vehicles and non-linear filtering

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