State estimation methods in navigation: Overview and application
This article deals with state estimation of nonlinear stochastic dynamic systems. The stress is
laid on general introduction of the selected estimation methods, description of their …
laid on general introduction of the selected estimation methods, description of their …
A modified fractional-order unscented Kalman filter for nonlinear fractional-order systems
A Ramezani, B Safarinejadian - Circuits, Systems, and Signal Processing, 2018 - Springer
In this paper, a fractional-order unscented Kalman filter (FUKF) is introduced at first. Then, its
convergence is analyzed based on Lyapunov functions for nonlinear fractional-order …
convergence is analyzed based on Lyapunov functions for nonlinear fractional-order …
[PDF][PDF] State estimation methods: Overview and application in navigation
The state of a system is a variable which fully characterises the status of the system at a
given time. Knowledge of the state is, thus, essential for control or prediction of the system's …
given time. Knowledge of the state is, thus, essential for control or prediction of the system's …
Fractional central difference Kalman filter with unknown prior information
In this paper, a generalized fractional central difference Kalman filter for nonlinear discrete
fractional dynamic systems is proposed. Based on the Stirling interpolation formula, the …
fractional dynamic systems is proposed. Based on the Stirling interpolation formula, the …
Urban air pollution estimation using unscented Kalman filtered inverse modeling with scaled monitoring data
The increasing rate of urbanization requires effective and reliable techniques for air quality
monitoring and control. For this, the Air Pollution Model and Chemical Transport Model …
monitoring and control. For this, the Air Pollution Model and Chemical Transport Model …
A quantified approach of predicting suitability of using the Unscented Kalman Filter in a non-linear application
A mathematical framework to predict the Unscented Kalman Filter (UKF) performance
improvement relative to the Extended Kalman Filter (EKF) using a quantitative measure of …
improvement relative to the Extended Kalman Filter (EKF) using a quantitative measure of …
Robust localization employing weighted least squares method based on MM estimator and Kalman filter with maximum versoria criterion
This study presents a robust two-step weighted least squares (WLS) localization algorithm
using the MM estimator and the Kalman filter with the maximum Versoria criterion (MVC). An …
using the MM estimator and the Kalman filter with the maximum Versoria criterion (MVC). An …
Robust double gain unscented Kalman filter for small satellite attitude estimation
L Cao, W Yang, H Li, Z Zhang, J Shi - Advances in Space Research, 2017 - Elsevier
Limited by the low precision of small satellite sensors, the estimation theories with high
performance remains the most popular research topic for the attitude estimation. The …
performance remains the most popular research topic for the attitude estimation. The …
Performance analysis of fast unscented Kalman filters for attitude determination
Attitude determination performance analysis of two newly developed Fast Unscented
Kalman Filters for CubeSat platforms is presented. The attitude determination scenario of …
Kalman Filters for CubeSat platforms is presented. The attitude determination scenario of …
Robust localization based on ML-type, multi-stage ML-type, and extrapolated single propagation UKF methods under mixed LOS/NLOS conditions
This paper presents robust localization algorithms that use range measurements to estimate
the location parameters. The non-line-of-sight (NLOS) propagation of a signal can severely …
the location parameters. The non-line-of-sight (NLOS) propagation of a signal can severely …