Results 41 to 50 of about 2,942 (188)
Robust Estimation in Continuous–Discrete Cubature Kalman Filters for Bearings-Only Tracking
Applied Sciences, 2022 The model of bearings-only tracking is generally described by discrete–discrete filtering systems. Discrete robust methods are also frequently used to address measurement uncertainty problems in bearings-only tracking.
Haoran Hu, Shuxin Chen, Hao Wu, Renke He
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Iterated Posterior Linearization Smoother [PDF]
, 2017 This note considers the problem of Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Sigma-point approximations to the general Gaussian Rauch-Tung-Striebel smoother are widely used methods to tackle ...
Garcia-Fernandez, Angel F +2 more
core +1 more source
A Probabilistic Perspective on Gaussian Filtering and Smoothing
, 2010 We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of computing/approximating the means and ...
Deisenroth, MP, Ohlsson, H
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Sensorless control of PMSM using an adaptively tuned SCKF
The Journal of Engineering, 2019 This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
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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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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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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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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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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
wiley +1 more source
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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