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Fringe enhanced phase unwrap** method based on unscented Kalman filter
Phase unwrap** is a crucial step in almost all Interferometric Synthetic Aperture Radar (InSAR) applications. However, the presence of noise often...
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Multisymplectic Unscented Kalman Filter for Geometrically Exact Beams
This paper introduces an unscented Kalman filter for the dynamics of geometrically exact beams based on multisymplectic geometry and Hamel’s...
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Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning
Machine learning (ML) is extensively used in fields involving sensitive data, data holders are seeking to protect the privacy of data and build the...
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Nichtlineare Kalman-Filter
Nicht alle Differenzialgleichungssysteme lassen sich mit der linearen Zustandsraumdarstellung darstellen. Für solche Problemstellungen muss eine...
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Estimation of missing video frames using Kalman filter
In recent years, there has been a lot of interest in the estimation of missing frames in video sequences because of its usage in several critical...
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Robust maximum correntropy criterion based square-root rotating lattice Kalman filter
Lattice Kalman filter (LKF) is a nonlinear Kalman filter that utilizes a deterministic sampling method with the advantages of optional sampling...
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Parameters estimation of linear frequency modulated signal using Kalman filter and its extended versions
The problem of linear frequency modulated (LFM) or chirp signal analysis is proposed in this paper. It is considered as an estimation theory problem...
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A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
The random error of fiber optic gyroscope (FOG) is an important factor affecting its performance. In this paper, a novel and efficient compensation...
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Robust Unscented Kalman Filter for Target Tracking Based on Mahalanobis Distance
A robust unscented Kalman filtering (UKF) is presented on the basis of the theory of Mahalanobis distance to enhance radar target tracking’s...
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Fault diagnosis of a nonlinear hybrid system using adaptive unscented Kalman filter bank
In this paper, a model-based fault diagnosis scheme of a nonlinear hybrid system using an adaptive unscented Kalman filter (AUKF) bank is proposed....
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Uncalibrated visual servoing based on Kalman filter and mixed-kernel online sequential extreme learning machine for robot manipulator
Visual servoing systems may suffer from interference by system noise when a Kalman filter is used to obtain a Jacobian matrix. Such interference may...
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Adaptive Kalman Filter with power transformation for online multi-object tracking
By introducing a low-score detection box association stage, the full-detection association can effectively enhance the accuracy and robustness of...
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FastTrack: A Highly Efficient and Generic GPU-Based Multi-object Tracking Method with Parallel Kalman Filter
The Kalman Filter based on uniform assumption has been a crucial motion estimation module in trackers. However, it has limitations in non-uniform...
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Distributed consensus Kalman filtering for asynchronous multi-rate sensor networks
Distributed filtering over sensor networks has received much attention due to its wide applications and has been extensively studied especially under...
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Kalman Filters
Understanding or controlling a physical system often requires a model of the system, that is, knowledge of the characteristics and structure of the...
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Non-linear kernel-based error function for extended Kalman filter oriented robust control of cancer chemotherapy
Amongst the various treatment models, chemotherapy is the most significant and widely practiced to cure cancer. More computerized arithmetical...
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A SINS/DVL/USBL integrated navigation and positioning IoT system with multiple sources fusion and federated Kalman filter
The navigation and positioning subsystem offers important position information for an autonomous underwater vehicle (AUV) system. It plays a crucial...
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A Method of Square Root Central Difference Kalman Filter for Target Motion Analysis
The central differential Kalman filter (CDKF) and square root central differential Kalman filter (SR-CDKF) are widely used methods for addressing...
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A multi-AUV cooperative navigation method based on the augmented adaptive embedded cubature Kalman filter algorithm
Cooperative navigation is part of the essential method for multiple autonomous underwater vehicles (AUVs) to gain an accurate position when...
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Improving the Stability of Kalman Filters with Posit Arithmetic
Kalman filters are used pervasively in industrial and technical applications. One of the main causes of failure of the Kalman filter is the numerical...