… proposes a novel fusion maximum correntropy Kalman/UFIR filter, which is … fusion filter
(MCFF). MCFF can not only improve the estimation accuracy of MCKF in case of noise statistical …

… by fusing based on noise statistics, we attempt to find a way … the fusion relationship between
the prior state estimate and … uncertainties introduced by the inaccurate noise statistics are …

… usually carried out in the presence of noise, we want an accurate and precise estimator,
preferably optimal and unbiased. If the environment or data is uncertain (or both) and the system …

… From the test data, we also find the noise variances in the measured distances to be σ2 … ,
“Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise statistics,” …

… ABSTRACT In this paper, we propose a new state estimator called the two-layer nonlinear …
‘‘Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise statistics,’…

… The parametric uncertainty is characterized by the multiplicative noise appearing in both …
integrate data from all available sensors in order to achieve the optimal state estimation. In …

… data fusion for indoor mini quadrotor localization under incomplete information about the
environments and quadrotor noise… and is thus not robust under uncertainties. In turn, the UFIR-…

… on the noise statistics, the UFIR filter computes the bias correction gain via the generalized
… Ahn, “Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise sta…

… of structural parameter, we perform the Kalman filter to estimate the states. The Kalman … ,
“Fusion Kalman/UFIR filter for state estimation with uncertain parameters and noise statistics,” …

… cubature Kalman filter (CKF) [17], can estimate navigation … -based filters require accurate
noise statistics for excellent … for the data fusion filter, and thus, the data fusion filter is not able to …