Measurement Noise Covariance-Adapting Kalman Filters for Varying Sensor Noise Situations. [PDF]
Sensors (Basel), 2021 Chhabra A, Venepally JR, Kim D.
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KALMAN FILTERS AND ARMA MODELS
Ratio Mathematica, 2003 The Kalman filter is the celebrated algorithm giving a recursive solution of the prediction problem for time series. After a quite general formulation of the prediction problem, the contributions of its solution by the great mathematicians Kolmogorov and
Aniello Fedullo
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Penalized ensemble Kalman filters for high dimensional non-linear systems. [PDF]
PLoS One, 2021 Hou E, Lawrence E, Hero AO.
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The diffuse ensemble filter [PDF]
Nonlinear Processes in Geophysics, 2009 A new class of ensemble filters, called the Diffuse Ensemble Filter (DEnF), is proposed in this paper. The DEnF assumes that the forecast errors orthogonal to the first guess ensemble are uncorrelated with the latter ensemble and have infinite variance ...
X. Yang, T. DelSole
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Regularized Optimal Transport Based on an Adaptive Adjustment Method for Selecting the Scaling Parameters of Unscented Kalman Filters. [PDF]
Sensors (Basel), 2022 Kang CH, Kim SY.
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Reduced sampling rate Kalman filters for carrier phase and frequency offset tracking in 200 Gbps 16 QAM coherent communication system. [PDF]
Sci Rep, 2021 Sharma S, Krishnamurthy PK.
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Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps
Complex & Intelligent SystemsIn this paper, we present a novel localization algorithm for mobile robots navigating in complex planar environments, a critical capability for various real-world applications such as autonomous driving, robotic assistance, and industrial automation ...
Domonkos Csuzdi +3 more
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Dynamics identification and forecasting of COVID-19 by switching Kalman filters. [PDF]
Comput Mech, 2020 Zeng X, Ghanem R.
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Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]
Sensors (Basel)Chebbi A, Franchek MA, Grigoriadis K.
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