Title: Nonlinear State Estimation Based on Iterated Unscented Kalman Filter
Abstract: In order to improve the approximation accuracy of the measurement update,the paper introduced iterated Kalman filter(IKF) into the unscented Kalman filter(UKF),formed the iterated unscented Kalman filter algorithm(IUKF).Theoretical analysis and simulation results show that:IUKF can improve the accuracy of non-linear approximation without increasing the complexity of calculation,so it has better performance than the standard EKF and UKF with similar computation burden.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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