Fading Unscented–Extended Kalman Filter for Multiple Targets Tracking with Symmetric Equations of Nonlinear Measurements

DOI10.1007/978-981-10-2335-4_5zbMath1414.93193OpenAlexW2518905352MaRDI QIDQ5377249

Changqing Chen, Yingmin Jia, Cui Zhang

Publication date: 24 May 2019

Published in: Proceedings of 2016 Chinese Intelligent Systems Conference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-2335-4_5

zbMATH Keywords

nonlinear systemKalman filterrandom biasmultiple targets tracking

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)

Cites Work

• Unnamed Item
• Tracking and data association
• Tracking methods in a multitarget environment
• The Gaussian Mixture Probability Hypothesis Density Filter
• Unscented Kalman Filters for Multiple Target Tracking With Symmetric Measurement Equations

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