A slide window variational adaptive Kalman filter
A slide window variational adaptive Kalman filter is presented in this brief based on adaptive
learning of inaccurate state and measurement noise covariance matrices, which is …
learning of inaccurate state and measurement noise covariance matrices, which is …
Adaptive extended Kalman filtering strategies for spacecraft formation relative navigation
The relative navigation problem for spacecraft formation flying missions in near-Earth orbit is
addressed here through the design of two unique adaptive extended Kalman filter …
addressed here through the design of two unique adaptive extended Kalman filter …
A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling
F Zhu, Y Huang, C Xue, L Mihaylova… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Existing robust state estimation methods are generally unable to distinguish model
uncertainties (state outliers) from measurement outliers as they only exploit the current …
uncertainties (state outliers) from measurement outliers as they only exploit the current …
A neuron-based kalman filter with nonlinear autoregressive model
The control effect of various intelligent terminals is affected by the data sensing precision.
The filtering method has been the typical soft computing method used to promote the …
The filtering method has been the typical soft computing method used to promote the …
A combination Kalman filter approach for State of Charge estimation of lithium-ion battery considering model uncertainty
Y Li, C Wang, J Gong - Energy, 2016 - Elsevier
An accurate battery State of Charge estimation plays an important role in battery electric
vehicles. This paper makes two contributions to the existing literature.(1) A recursive least …
vehicles. This paper makes two contributions to the existing literature.(1) A recursive least …
Multipath mitigation and NLOS detection using vector tracking in urban environments
Multipath interference and non-line-of-sight (NLOS) reception are major error sources when
using global navigation satellite systems in urban environments. A promising approach to …
using global navigation satellite systems in urban environments. A promising approach to …
Adaptive Kalman filtering algorithms for integrating GPS and low cost INS
GPS and Inertial Navigation Systems are used for positioning and attitude determination in a
wide range of applications. Over the last few years, a number of low cost inertial sensors …
wide range of applications. Over the last few years, a number of low cost inertial sensors …
An adaptive Kalman filter based on Sage windowing weights and variance components
Y Yang, T Xu - The Journal of Navigation, 2003 - cambridge.org
In this paper a brief review of Sage adaptive filtering is followed by an analysis of the
shortcomings of covariance matrices formed by windowing residual vectors, innovation …
shortcomings of covariance matrices formed by windowing residual vectors, innovation …
A comparative study on adaptive EKF observers for state and parameter estimation of induction motor
E Zerdali - IEEE Transactions on Energy Conversion, 2020 - ieeexplore.ieee.org
In this article, conventional extended Kalman filter (EKF) and adaptive extended Kalman
filters (AEKFs) based on adaptive fading, strong tracking, and innovation are compared for …
filters (AEKFs) based on adaptive fading, strong tracking, and innovation are compared for …
Robust adaptive Kalman filter for estimation of UAV dynamics in the presence of sensor/actuator faults
In this paper a Robust Adaptive Kalman Filter (RAKF) is introduced. The RAKF incorporates
measurement and process noise covariance adaptation procedures (R and Q adaptation …
measurement and process noise covariance adaptation procedures (R and Q adaptation …