Jun-hui, "The iterated extended kalman particle filter," in Proceedings of the Inter- national Symposium on Communications and Information Technologies (ISCIT '05), pp. 1213-1216, 2005.Li Liang-qun,Ji Hong-bing,Luo Jun-hui.The iterated extended kalman particle filter.Proceedings of International...
It is shown that the iterated Kalman filter (IKF) update is an application of the Gauss-Newton method for approximating a maximum likelihood estimate. An example is presented in which the iterated Kalman filter update and maximum likelihood estimate show correct convergence behavior as the observation...
IEKFIterated Extended Kalman Filter IEKFInvariant Extended Kalman Filter(systems possessing) Copyright 1988-2018AcronymFinder.com, All rights reserved. Suggest new definition Want to thank TFD for its existence?Tell a friend about us, add a link to this page, or visitthe webmaster's page for free...
In order to overcome the flaw that it is hard to get the optimization importance density function in the particle filter, in this paper, the iterated algorithm is used in the Extended Kalman Filter (EKF) and the sequential fusion integrated with particle filter. Besides, the iterated algorithm ...
In the last three decades, the field of computational intelligence has seen a profusion of population-based metaheuristics applied to a variety of problems, where they achieved state-of-the-art resul...
We present an offline, iterated particle filter to facilitate statistical inference in general state space hidden Markov models. Given a model and a sequence of observations, the associated marginal likelihood L is central to likelihood-based inference for unknown statistical parameters. We define a cl...
A constrained unscentedKalman filter(CUKF) has been derived. • The CUKF has been adopted for parameter estimation of the normalized Bouc-Wen model. • The CUKF has been compared with the well-knownextended Kalman filter(EKF) •
We present the first direct search for lepton flavour violating muon decay mediated by a new light particle X, \(\upmu ^+ \rightarrow \mathrm {e}^+\mathrm {X}, \mathrm {X} \rightarrow \upgamma \upgamma \ \). This search uses a dataset resulting from \(7.5\times 10^{14}\) st...
Li Q, Li R, Ji K, Dai W. Kalman filter and its application. In: 2015 8th International Conference on Intelligent Networks and Intelligent Systems (ICINIS). IEEE; 2015. pp. 74–77. Cane T, Ferryman J. Saliency-based detection for maritime object tracking. In: Proceedings of the IEEE co...
Nonlinear Bayesian Filter: Alternative to the Extended Kalman Filter in the GPS/INS Fusion Systems The complementary error characteristics of GPS and inertial sensors result in a multi-sensor fusion system providing high-accuracy continuous 3-dimensional position and orientation solutions. Due to the non...