Results 161 to 170 of about 18,908 (211)

Unscented Kalman Filtering on Riemannian Manifolds

Journal of Mathematical Imaging and Vision, 2012
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Hauberg, Søren, Lauze, Francois Bernard, Pedersen, Kim Steenstrup   +2 more
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Sequence Unscented Kalman Filtering Algorithm

2008 3rd IEEE Conference on Industrial Electronics and Applications, 2008
Unscented Kalman Filter (UKF) has been proved to be a superior alternative to the extended Kalman filter (EKF) when solving the nonlinear system in recent years. In order to improve the real-time of the UKF, A new kind of UKF called Sequence UKF is proposed in this paper.
null Hui-ping Li, null De-min Xu, null Jiang Li jun, null Fu-bin Zhang   +3 more
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Improved unscented Kalman particle filter

2010 IEEE International Conference on Mechatronics and Automation, 2010
In order to improve tracking estimation accuracy of existing unscented Kalman particle filter (UPF), an improved particle filter algorithm based on iterative measurement update UKF is proposed. The algorithm uses maximum posteriori estimate of iterative unscented Kalman filter as the important density function of the particle filter and amends the ...
Guo-hui Li, Ya-an Li, Hong Yang, Lin Cui
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State Estimation using Extended Kalman Filter and Unscented Kalman Filter

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), 2020
In any linear system the Kalman Filter is highly used to tracking and estimation. Extended Kalman Filter is deal nonlinear system better than Kalman Filter. But the framework of Extended Kalman Filter is not easy to draw they requires some highly numerical terms in nature.
Priya Shree Madhukar, L.B. Prasad
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A skewed unscented Kalman filter

International Journal of Control, 2016
ABSTRACTState estimation of nonlinear systems is a challenging task, especially when the Gaussian approximation fails. The unscented Kalman filter was proposed to deal with state estimation of nonlinear systems. We modify the traditional unscented Kalman filter to capture the third-order moment (skewness) of the state vector.
Javad Rezaie, Jo Eidsvik
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Comparison of Unscented Kalman Filters

2007 International Conference on Mechatronics and Automation, 2007
Unscented Kalman filter (UKF) has been proven to be a superior alternative to the extended Kalman filter (EKF) when solving the nonlinear system in previous literatures. In order to accelerate the application of UKF in the actual system, a new simplified UKF is proposed in this paper.
Yanling Hao, Zhilan Xiong, Feng Sun, Xiaogang Wang   +3 more
openaire   +1 more source

Weighted Average Consensus-Based Unscented Kalman Filtering

IEEE Transactions on Cybernetics, 2016
In this paper, we are devoted to investigate the consensus-based distributed state estimation problems for a class of sensor networks within the unscented Kalman filter (UKF) framework. The communication status among sensors is represented by a connected undirected graph.
Wangyan, Li, Guoliang, Wei, Fei, Han, Yurong, Liu   +3 more
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Unscented and square‐root unscented Kalman filters for quaternionic systems

International Journal of Robust and Nonlinear Control, 2018
SummaryProper construction of an unscented Kalman filter (UKF) for unit quaternionic systems is not straightforward due to the incompatibility between the algebraic properties of the unit quaternions and the common real vector space operations (additions and scalar multiplications) needed in the steps of a filter algorithm. This work studies, in detail,
Henrique M.T. Menegaz, João Y. Ishihara
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Amplifier predistortion using unscented Kalman filtering

IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005., 2005
Bandwidth efficient modulation schemes like M-ary quadrature amplitude modulation (M-QAM) and orthogonal frequency division multiplexing (OFDM) suffer from amplifier nonlinearities when operated near saturation. The high power amplifier (HPA) characteristics could be memoryless or with memory, as experienced in wideband CDMA (W-CDMA).
A.V. Malipatil, null Yih-Fang Huang
openaire   +1 more source

Event-Triggered Cooperative Unscented Kalman Filtering

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018
In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition.
Weihao Song, Jianan Wang, Chunyan Wang, Jiayuan Shan   +3 more
openaire   +1 more source