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A The Kalman Filter
The Kalman Filter developed in the early sixties by R.E. Kalman [57, 58] is a recursive state estimator for partially observed non-stationary...
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Stochastic Stability of the Improved Maximum Correntropy Kalman Filter Against Non-Gaussian Noises
In this paper, an improved maximum correntropy Kalman filter (IMCKF) algorithm is proposed to enhance the estimation accuracy of conventional...
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A Sparse State Kalman Filter Algorithm Based on Kalman Gain
In order to improve tracking accuracy of time-varying sparse signals, a sparse state Kalman filter algorithm based on Kalman gain matrix is proposed...
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Adaptive augmented cubature Kalman filter/smoother for ECG denoising
Model-based Bayesian approaches have been widely applied in Electrocardiogram (ECG) signal processing, where their performances heavily rely on the...
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Fault Tolerant Indoor Positioning Based on Federated Kalman Filter
In this article, multi-sensor indoor positioning, which is based on fusing tri-laterated position data of the target, is considered. A novel method,...
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Improved Maximum Correntropy Unscented Kalman Filter for Spacecraft Attitude Estimation
In this article, an improved maximum correntropy unscented Kalman filter (IMCUKF) is proposed for the problem of mutation and non-Gaussian noise in...
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Distributed Fuzzy Extended Kalman Filter for Multiagent Systems
In this study, a novel distributed Kalman filter based on a possibilistic framework was proposed to mitigate fuzzy noisein nonlinear multiagent...
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Parallel Distributed Architecture of Linear Kalman Filter for Non-stationary MIMO Communication Systems
This paper provides the parallel distributed Kalman filter (PDKF) with non-aligned time indexes, which uses four processing nodes to run the linear...
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Low-Complexity Square-Root Unscented Kalman Filter Design Methodology
Square-root unscented Kalman filter (SRUKF) is a widely used state estimator for several state of-the-art, highly nonlinear, and critical...
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Kalman Filter-Based Fault Diagnosis
This chapter introduces Kalman filter-based fault diagnosis methods for discrete-time linear stochastic systems. This chapter first considers the...
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Speed Sensorless Control of a Bearingless Induction Motor Based on Modified Robust Kalman Filter
To enhance the speed identification accuracy in speed sensorless control of a bearingless induction motor (BIM), a speed sensorless control strategy...
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A study on the implementation of nonlinear Kalman filter applying MMG model
Many technologies need to be established to realize autonomous ships. In particular, accurate state estimation in real time is one of the most...
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Fiducial Marker-Based Autonomous Landing Using Image Filter and Kalman Filter
Autonomous take-off and landing are essential to perform continuous missions of unmanned aerial vehicles (UAVs) using drone stations. Generally, this...
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Joint Estimation of Vehicle State and Parameter Based on Maximum Correntropy Adaptive Unscented Kalman Filter
To address the problem of poor robustness and accuracy of vehicle state and parameter estimation by conventional Kalman filter in the non-Gaussian...
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Resilient timekee** algorithm with multi-observation fusion Kalman filter
The timescales incorporated into the Primary Frequency Standard (PFS) exhibit excellent stability and accuracy. However, during the dead time of PFS,...
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Generalizing the Basic Discrete Kalman Filter
To derive the discrete Kalman filter in Chap. 9 , we make several assumptions that restrict its usefulness. In...
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Maximum correntropy-based pseudolinear Kalman filter for passive bearings-only target tracking
This paper proposes a new approach for solving the bearings-only target tracking (BoT) problem by introducing a maximum correntropy criterion to the...
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A The Linear Regression Kalman Filter
The Linear Regression Kalman Filter (LRKF, Sect. 4.2) has the following properties:...
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Maximum Correntropy Extended Kalman Filter for Vehicle State Observation
For vehicle state estimation, the conventional Kalman filter performs well under the Gaussian assumption, but in the real non-Gaussian situation...
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Improved Initial Alignment Algorithm of SINS on Shaking Base Based on Kalman Filter
In the initial alignment of shaking base, Kalman filter is easy to diverge, and the alignment result is poor. Many scholars introduce various...
