Bearings only single-sensor target tracking using Gaussian mixtures

DOI10.1016/J.AUTOMATICA.2009.05.008zbMath1175.93217OpenAlexW1999685759MaRDI QIDQ1036679

Darko Mušicki

Publication date: 13 November 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2009.05.008

zbMATH Keywords

Gaussian mixturestarget trackingestimation theorynonlinear observer and filter designbearings only

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Observability (93B07)

Related Items (2)

The Fermat-Weber location problem in single integrator dynamics using only local bearing angles ⋮ Novel pseudo-linear Kalman filtering for 3D angle-only tracking in the presence of observer's location errors

Cites Work

• Bearings only multi-sensor maneuvering target tracking
• Derivation and evaluation of improved tracking filter for use in dense multitarget environments
• A new method for the nonlinear transformation of means and covariances in filters and estimators
• Bearings-only tracking using a set of range-parameterised extended Kalman filters
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