An improved Gaussian mixture CKF algorithm under non-Gaussian observation noise

DOI10.1155/2016/1082837zbMath1417.94023OpenAlexW2480871928WikidataQ59123365 ScholiaQ59123365MaRDI QIDQ1727482

Hong-Jian Wang, Cun Li

Publication date: 20 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/1082837

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Comments on Adaptive fading Kalman filter with an application
• High-degree cubature Kalman filter
• Neural networks for modelling and control of dynamic systems. A practitioner's handbook
• Gaussian filters for nonlinear filtering problems
• An Improvement on Resampling Algorithm of Particle Filters
• Strong tracking filtering of nonlinear time-varying stochastic systems with coloured noise: application to parameter estimation and empirical robustness analysis
• Cubature Kalman Filters
• Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation
• Nonlinear Bayesian estimation using Gaussian sum approximations
• New developments in state estimation for nonlinear systems

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