Adaptive tracking system for a manoeuvring target using images with correlated noises

DOI10.1080/00207728908910172zbMath0673.93076OpenAlexW2027674998MaRDI QIDQ3827912

Hsi-Jian Lee, Ker-Chang Chang, Chyan-Goei Chung

Publication date: 1989

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728908910172

zbMATH Keywords

samplingadaptive filtersemi-Markov processcorrelated noisesmanoeuvring targeta posteriori probabilitynoisy image sequence

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10)

Related Items (2)

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

Cites Work

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• Stochastic models, estimation, and control. Vol. 1
• Stochastic processes and filtering theory
• Application of state estimation to target tracking
• A Mathematical Model for Computer Image Tracking
• An adaptive state estimation solution to the maneuvering target problem
• An Adaptive Estimator with Learning for a Plant Containing Semi-Markov Switching Parameters

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