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• W2078001593 abstract "This paper presents a new robust adaptive unscented particle filtering algorithm by adopting the concept of robust adaptive filtering to the unscented particle filter. In order to prevent particles from degeneracy, this algorithm adaptively determines the equivalent weight function according to robust estimation and adaptively adjusts the adaptive factor constructed from predicted residuals to resist the disturbances of singular observations and the kinematic model noise. It also uses the unscented transformation to improve the accuracy of particle filtering, thus providing the reliable state estimation for improving the performance of robust adaptive filtering. Experiments and comparison analysis demonstrate that the proposed filtering algorithm can effectively resist disturbances due to system state noise and observation noise, leading to the improved filtering accuracy." @default.
• W2078001593 created "2016-06-24" @default.
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• W2078001593 date "2013-04-01" @default.
• W2078001593 modified "2023-09-22" @default.
• W2078001593 title "Robust Adaptive Unscented Particle Filter" @default.
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• W2078001593 doi "https://doi.org/10.4018/ijimr.2013040104" @default.
• W2078001593 hasPublicationYear "2013" @default.
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