The fundamental concept in a Gaussian Sum Filter (GSF) is to use a finite set of Gaussian distributions to estimate and to construct the probability density function (pdf) using Bayesian …
The main difference between the Extended Kalman Filter (EKF) and the non-linear estimators that make use of the so-called Sigma Points is the need or not of linearizing the …
W Zhang, T Lan, Y Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
Maximum power point tracking (MPPT) technology is well suited to photovoltaic (PV) system analysis, which can improve power generation efficiency and control effectiveness …
H Jiao, H Li, L Zhao, P Xiao, Y Li, T Wang, C Zhang… - Acta Astronautica, 2023 - Elsevier
This paper proposed and verified an optimal estimation method of satellite attitude deviation in orbit based on the frequency domain features of microwave remote sensing data from the …
The particle filter (PF) is an important tool used for estimating states in a variety of nonlinear systems, such as positioning, mapping, and diagnostics. As it is so widely used, it is …
Due to the technology progress, particularly in electronics the satellite development has become more accessible, allowing its manufacturing by startup companies and universities …
Extended Kalman filter (EKF) has been found as most widely used algorithm for state estimation due to its simplicity for implementation and theoretically attractive in the sense …