Results 41 to 50 of about 2,929 (197)
Szegő Quadrature Kalman Filter for Oscillatory Systems
IEEE Access, 2020 Filtering problems with oscillatory system dynamics commonly appear in real-life. However, the existing Gaussian filters, like the unscented Kalman filter (UKF), cubature Kalman filter CKF, Gauss-Hermite filter (GHF) and cubature quadrature Kalman filter
Abhinoy Kumar Singh
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Robust Filtering and Smoothing with Gaussian Processes
, 2012 We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function are described by non-parametric Gaussian process (GP) models.
, +5 more
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A modified bayesian filter for randomly delayed measurements [PDF]
, 2017 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Bhoumik, S, Date, P, Singh, AK
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Improved square root adaptive cubature Kalman filter [PDF]
IET Signal Processing, 2019 In this study, an improved square root adaptive cubature Kalman filter (ISRACKF) is proposed to improve the filter performance in terms of accuracy, computation efficiency, and robustness. Through the evaluated measure of non‐linearity value, the cubature rule under different accuracy levels can be adaptively selected in the dynamic process or ...
Lei Zhang +4 more
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Sigma Point Filters For Dynamic Nonlinear Regime Switching Models [PDF]
, 2015 In this paper we take three well known Sigma Point Filters, namely the Unscented Kalman Filter, the Divided Difference Filter, and the Cubature Kalman Filter, and extend them to allow for a very general class of dynamic nonlinear regime switching models.
Binning, Andrew, Maih, Junior
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IEEE Access, 2020 This paper develops a novel nonlinear adaptive robust filter called the multiple-step randomly delayed variational Bayesian adaptive high-degree cubature Huber-based filter (MRD-VBAHCHF) for a class of nonlinear stochastic systems whose measurements are ...
Rongjun Mu +4 more
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On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
, 2019 Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool
Hoffmann, Christian +2 more
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Electronics Letters, Volume 62, Issue 1, January/December 2026.The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
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IET Generation, Transmission & Distribution, 2022 State estimation is the core function of distribution management system, and its estimation accuracy directly affects the operation of other advanced application functions of distribution management system.
Qian Shi, Min Liu, Luqing Hang
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Robust Gaussian Filtering using a Pseudo Measurement
, 2016 Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
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