Results 21 to 30 of about 708,924 (281)
Measurement Science Review, 2022 This work presents distributed predictor and filter without feedback for nonlinear stochastic uncertain system with correlated noises. Firstly, for the problem that the process noise and measurement noise are correlated, the two-step prediction theorem ...
Liu Man-lu +5 more
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The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint
IEEE Access, 2021 In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
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GCI Fusion-Based Anti-Deception Jamming Algorithm for Distributed Radar [PDF]
Hangkong bingqi, 2022 Aiming at the anti-jamming problem of distributed radar against multiple false targets, an anti-jamming algorithm based on data level fusion is proposed. Firstly, the cardinalized probability hypothesis density (CPHD) filter based on random finite set is
Zhu Yongfeng, Da Kai, Yang Ye
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Distributed Fusion Estimation for the Measurements with Bounded Disturbances
Measurement Science Review, 2022 The information fusion problem is studied for multi-sensor systems in the presence of bounded disturbances. In this paper, a distributed fusion estimation algorithm is proposed based on the set-membership theory, which obtains the overall estimates based
Shen Qiang +4 more
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Globally Optimal Distributed Kalman Filtering for Multisensor Systems with Unknown Inputs
Sensors, 2018 In this paper, the state estimation for dynamic system with unknown inputs modeled as an autoregressive AR (1) process is considered. We propose an optimal algorithm in mean square error sense by using difference method to eliminate the unknown inputs ...
Yali Ruan, Yingting Luo, Yunmin Zhu
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Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
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Distributed computations for large-scale networked systems using belief propagation
Journal of Automation and Intelligence, 2023 This paper introduces several related distributed algorithms, generalised from the celebrated belief propagation algorithm for statistical learning. These algorithms are suitable for a class of computational problems in large-scale networked systems ...
Qianqian Cai, Zhaorong Zhang, Minyue Fu
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Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents [PDF]
, 2010 Intelligent agents are an advanced technology utilized in Web Intelligence. When searching information from a distributed Web environment, information is retrieved by multi-agents on the client site and fused on the broker site.
Geva, Shlomo +3 more
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Safe fusion compared to established distributed\ fusion methods
2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2016 The safe fusion algorithm is benchmarked against three other methods in distributed target tracking scenarios. Safe fusion is a fairly unknown method similarly to, e.g., covariance intersection, that can be used to fuse potentially dependent estimates without double counting data.
Nygårds, Jonas +2 more
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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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