… In this paper, the developments for integrating the measurements in nonlinear systems
based on the Sigma Point Kalman Filter (SPKF) are introduced in order to solve the complex …

… for linear systems in [5], where it is also mentioned that their framework can be extended
to nonlinear systems in a manner similar to the development of the extended Kalman filter for …

… estimation and extended kalman filter method in [4]. This paper emphasizes the sigma-point
Kalman filter as follows [6]: the sigma-point Kalman filter addresses the approximation …

… in the context of the Extended Kalman Filter (EKF), few have … However, we prove that without
re-drawing sigma points, this ‘… method for the Sigma-Point Kalman Filter to process high-…

… Abstract: The paper deals with analysis and illustration of the impact of the σ-point set …
unscented Kalman filter. It is shown that the covariance matrix factor, used in σ-point computation, …

… In this paper the Sigma-point Kalman filter (SPKF) and Particle filters (PF) are described.
These filters belong to the simulation-based category of filters and they will be discussed in …

… Sigma-point based Kalman filters have been widely applied to nonlinear filtering problems,
where cubature Kalman filter (… Different sigma-point update frameworks (SUFs) for CKF have …

… The feeding rates, off-gas concentrations, NIR spectra, and knowledge about the dynamics
of the process are integrated seamlessly in a sigma-point Kalman filter (SPKF). The latter is …

… by developing an out-of-order sigma-point Kalman filter (O3SPKF). … the sigma-point Kalman
filter such that the modified filter, which we call the out-of-order sigma-point Kalman filter (…

… Salameh and SA Gadsden, 2016, "A comprehensive comparison of sigma-point Kalman
filters applied on a complex maneuvering road", Proc. SPIE 9842, Signal Processing, Sensor/…