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The Research on Distributed Fusion Estimation Based on Machine Learning
IEEE Access, 2020 Multi-sensor distributed fusion estimation algorithms based on machine learning are proposed in this paper. Firstly, using local estimations as inputs and estimations of three classic distributed fusion (weighted by matrices, by diagonal matrices and by ...
Zhengxiao Peng, Yun Li, Gang Hao
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Fusions of a Probability Distribution
The Annals of Probability, 1992 The authors study a new concept: The fusions of a probability. To make the results more accessible, we shall present (unlike the authors) only the finite-dimensional case. So, \(X\) is \(R^n\) (they consider any Banach separable space) and \({\mathcal P}\) is the convex set of all the probabilistic measures on \({\mathcal B}(X)\).
Elton, J., Hill, Theodore P.
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Fusion frames and distributed processing
Applied and Computational Harmonic Analysis, 2008 Let $\{W_i\}_{i\in I}$ be a (redundant) sequence of subspaces each being endowed with a weight $v_i$, and let $\mathcal{H}$ be the closed linear span of the $W_i$'s, a composite Hilbert space. Provided that $\{(W_i,v_i)\}_{i \in I}$ satisfies a certain property which controls the weighted overlaps of the subspaces, it is called a {\em fusion frame ...
Casazza, Peter G. +2 more
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Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency
Sensors, 2017 The paradigm of multisensor data fusion has been evolved from a centralized architecture to a decentralized or distributed architecture along with the advancement in sensor and communication technologies. These days, distributed state estimation and data
Muhammad Abu Bakr, Sukhan Lee
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Sensors, 2023 Aiming at the problem of distributed state estimation in sensor networks, a novel optimal distributed finite-time fusion filtering method based on dynamic communication weights has been developed.
Hang Yu +4 more
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Systems Science & Control Engineering, 2020 In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
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Distributed contextual data fusion with ACIPL [PDF]
IEEE Aerospace and Electronic Systems Magazine, 2008 A system for controlling smart sensor networks is described. The system is called the adaptive context information processing language (ACIPL) which will allow explicit use of states of context inferred from sensor readings and algorithmic output for distributed control of data fusion in sensor networks.
Michael A. McGrath, Yuan F. Zheng
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Distributed Fusion Tracking Estimation Under Range-Only Measurement
IEEE Access, 2022 This paper is concerned with the distributed fusion estimation problem of range-only target tracking system with unknown but bounded noises, where the linear and nonlinear motion models are both considered.
Shiqing Sang, Rusheng Wang, Zhen Hong
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Robust Distributed Fusion with Labeled Random Finite Sets [PDF]
, 2017 This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersection (GCI) method.
Battistelli, Giorgio +5 more
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Applied SciencesThe identification of sensing group targets and extended targets is of paramount importance in the context of vehicle tracking and early warning detection.
Chao Xiong +3 more
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