Results 31 to 40 of about 708,924 (281)
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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Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center [PDF]
, 2010 A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and transmit their observations to a fusion center using the amplify and forward scheme.
Banavar, Mahesh K. +3 more
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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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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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Distributed data fusion algorithms for inertial network systems [PDF]
, 2008 New approaches to the development of data fusion algorithms for inertial network systems are described. The aim of this development is to increase the accuracy of estimates of inertial state vectors in all the network nodes, including the navigation ...
Allerton, David J., Jia, Huamin
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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 soft thresholding for sparse signal recovery [PDF]
, 2013 In this paper, we address the problem of distributed sparse recovery of signals acquired via compressed measurements in a sensor network. We propose a new class of distributed algorithms to solve Lasso regression problems, when the communication to a ...
Fosson, Sophie M. +2 more
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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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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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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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