Results 61 to 70 of about 7,693 (163)
Kalman filtering with intermittent observations
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004 Motivated by navigation and tracking applications within sensor networks, we consider the problem of performing Kalman filtering with intermittent observations. When data travel along unreliable communication channels in a large, wireless, multihop sensor network, the effect of communication delays and loss of information in the control loop cannot be ...
B. Sinopoli +5 more
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Comparative evaluation of filters used in tracking air targets
Научный вестник МГТУ ГА, 2016 Using an imitation model for a flow of heterogeneous air targets the comparative assessment of the αβ, αβγ and the Kalman filters efficiency is evaluated.
Y. I. Strekalovskaya
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Non-Gaussian Filters for Nonlinear Continuous-Discrete Models
SICE Journal of Control, Measurement, and System Integration, 2017 In this paper, we propose using an ensemble Kalman filter (EnKF) and particle filters (PFs) to obtain superior state estimation accuracy for nonlinear continuous-discrete models. We discretize the Ito-type stochastic differential system model by means of
Masaya Murata, Kaoru Hiramatsu
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Quadrangle Detection Based on A Robust Line Tracker Using Multiple Kalman Models
Journal of ICT Research and Applications, 2014 Quadrangle and line tracking are essential for many real world applications of computer vision. In this paper, we propose a computationally efficient line tracker that can robustly and accurately track lines in an image.
Hung Kwun Fung, Kin Hong Wong
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The Annals of Statistics, 1991 A state is said to be diffuse if its covariance matrix is arbitrarily large. Using a modified form of the Kalman filter, necessary and sufficient conditions for the existence of diffuse constructs are obtained. Applications to likelihood evaluation, diffuse prediction and diffuse smoothing are given.
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Mixed Noise Reduction in Gray Scale Images Using Hybrid Filters Scheme
Journal of Engineering and Sustainable Development, 2012 n interactive algorithm to restoration of noisy image is presented in this paper. This algorithm composites of two filters working together with scalar recursive Kalman filter at same time.
Karim M. Al-Jebory +2 more
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IEEE Journal of Indoor and Seamless Positioning and NavigationThe algorithms of the Kalman filters have been used in many papers on the Pedestrian Dead Reckoning (PDR) and attitude estimation for the attitude and heading reference system (AHRS).
Shunsei Yamagishi, Lei Jing
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IEEE Access, 2017 The problem of jointly estimating carrier frequencies and their corresponding two-dimension direction of arrivals (DOA) of band-limited source signals is considered in this paper for cognitive radio.
Samar Elaraby +3 more
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Effects of Personalization on Gait-State Tracking Performance Using Extended Kalman Filters. [PDF]
Rep U S, 2023 Montes-Pérez JA, Thomas GC, Gregg RD.
europepmc +1 more source
Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters. [PDF]
Sensors (Basel), 2023 He Z +5 more
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