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Unscented Kalman Filtering on Riemannian Manifolds
Journal of Mathematical Imaging and Vision, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Søren Hauberg +2 more
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Comparison of Unscented Kalman Filters
2007 International Conference on Mechatronics and Automation, 2007Unscented 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 +3 more
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Unscented and square‐root unscented Kalman filters for quaternionic systems
International Journal of Robust and Nonlinear Control, 2018SummaryProper 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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Unscented Kalman Filter and Particle Filter for Chaotic Synchronization
APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, 2006The first and foremost step in developing a chaotic communication system is to establish synchronization of the chaotic systems/maps at the transmitter and receiver. Extended Kalman filter (EKF) is a widely studied nonlinear observer for chaotic synchronization.
Ajeesh P. Kurian +1 more
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Unscented Kalman Filter for frequency and amplitude estimation
2011 IEEE Trondheim PowerTech, 2011This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self ...
Gonzalez-Longatt, Francisco +4 more
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Performance evaluation of the Extended Kalman Filter and Unscented Kalman Filter
2015 International Conference on Unmanned Aircraft Systems (ICUAS), 2015The Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are methods usually applied in the sensor fusion for Unmanned Aerial Vehicles due to its nonlinear navigation equations. This paper presents a comparison between the two filters considering the position, velocity and attitude of the vehicle and the IMU bias.
Natassya B. F. da Silva +2 more
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Event-Triggered Cooperative Unscented Kalman Filtering
2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018In 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 +3 more
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Complete offline tuning of the unscented Kalman filter
Automatica, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonardo Azevedo Scardua +1 more
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On the performance of unscented Kalman filter with intermittent observations
2014 12th IEEE International Conference on Industrial Informatics (INDIN), 2014The insertion of the communication network in feedback control loop makes the analysis and design of wireless networked control systems (WNCS) more complex, induces challenges in the form of: delays and packet losses, that degrade the control system's performance and even cause instability. From the viewpoint of application, the main challenge found in
Tanisia De Carli Foletto +1 more
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Unscented Kalman filter for visual curve tracking
Image and Vision Computing, 2004Abstract Visual contour tracking in complex background is a difficult task. The measurement model is often nonlinear due to clutter in images. Traditional visual trackers based on Kalman filters employ simple linear measurement models, and often collapse during the tracking process.
Peihua Li, Tianwen Zhang, Bo Ma
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