Adaptive UKF Filtering Algorithm Based on Maximum a Posterior Estimation and Exponential Weighting

DOI10.3724/SP.J.1004.2010.01007zbMath1240.93337OpenAlexW2007812618MaRDI QIDQ3014232

Lin Zhao, Jicheng Ding, Xiaoxu Wang, Chao Yan, Ming Sun

Publication date: 19 July 2011

Published in: Acta Automatica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3724/sp.j.1004.2010.01007

zbMATH Keywords

exponential weightingmaximum a-posteriori estimationadaptive unscented Kalman filtering algorithm

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35)

Related Items (4)

Distributed adaptive cubature information filtering for bounded noise system in wireless sensor networks ⋮ Adaptive fractional-order unscented Kalman filter with unknown noise statistics ⋮ Windowing and random weighting-based adaptive unscented Kalman filter ⋮ An ASVSF-SLAM algorithm with time-varying noise statistics based on MAP creation and weighted exponent

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