Results 21 to 30 of about 1,226 (77)
Multi‐sensor particle filtering with multi‐step randomly delayed measurements
Abstract This paper develops particle filtering for multi‐sensor systems with randomly delayed measurements, where the general case that random delay can be multi‐step rather than one‐step or two‐step is considered. Moreover, different sensors can have different delay steps and delay probabilities.
Yunqi Chen, Zhibin Yan
wiley +1 more source
Stochastic framework for evaluating the effect of displaced antenna elements on DOA estimation [PDF]
We establish a statistical framework for investigating the influence of correlated random displacements of antenna elements in a uniform circular antenna array (UCA) on the distribution of direction-of-arrival (DOA) estimates. More specifically, we apply
Bruneel, Herwig +5 more
core +2 more sources
In the finite difference method which is commonly used in computational micromagnetics, the demagnetizing field is usually computed as a convolution of the magnetization vector field with the demagnetizing tensor that describes the magnetostatic field of
Chernyshenko, Dmitri, Fangohr, Hans
core +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
The impetus of this work is to develop a more accurate filter, the Gaussian sum adaptive sparse grid quadrature filter, which can be applied to non‐linear non‐Gaussian systems. Based on the Gaussian sum filter framework, the sparse grid quadrature filter is used as a sub‐filter to complete the filtering, and a weighting function is created to ...
Chen Qian +3 more
wiley +1 more source
The discrete analog of the differential operator plays a significant role in constructing interpolation, quadrature, and cubature formulas. In this work, we consider a discrete analog D m ( h β ) $D_{m}(h\beta )$ of the differential operator d 2 m d x 2 ...
K. M. Shadimetov, J. R. Davronov
doaj +1 more source
Accurate state estimation is paramount for the smooth operation and management of power systems, significantly contributing to their safety, stability, and reliability. However, the presence of channel noise and outliers stemming from phasor measurement units renders the noise model a deviation from the Gaussian distribution. To mitigate this challenge,
Mingyang Liu +4 more
wiley +1 more source
Orthogonal Laurent Polynomials of Two Real Variables
ABSTRACT In this paper, we consider an appropriate ordering of the Laurent monomials xiyj$x^{i}y^{j}$, i,j∈Z$i,j \in \mathbb {Z}$ that allows us to study sequences of orthogonal Laurent polynomials of the real variables x$x$ and y$y$ with respect to a positive Borel measure μ$\mu$ defined on R2$\mathbb {R}^2$ such that ({x=0}∪{y=0})∩supp(μ)=∅$(\lbrace ...
Ruymán Cruz‐Barroso, Lidia Fernández
wiley +1 more source
Fuzzy Consensus Cubature Information Filtering for Space Target Tracking
A fuzzy distributed nonlinear state estimation issue on the possibilistic framework is investigated in this paper. Firstly, unlike the Gaussian probability distributions on the traditional probability framework, the noises are modeled as fuzzy random variables (FRVs) with trapezoidal possibility distributions (TPDs), and then a fuzzy cubature paradigm ...
Xiaobo Zhang +5 more
wiley +1 more source
Two distributed algorithms based on factor graphs are proposed, utilising multiple CubeSats angle measurements for the orbit determination of the non‐cooperative spacecraft. The algorithms are applied to the sub‐parent and distributed cluster spacecraft architectures, respectively.
Zhixun Zhang +4 more
wiley +1 more source

