Results 241 to 250 of about 718,213 (287)

Distributed decision fusion under unknown distributions

Optical Engineering, 1996
The problem of distributed decision fusion is studied in the case when the probability distributions of the individual detectors are not available. The detector system is available so that a training sample can be generated by sensing objects with known parameters or classification. Earlier solutions to this problem required some knowledge of the error
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Distributed fusion incremental Kalman filter

2018 Chinese Control And Decision Conference (CCDC), 2018
In the actual application process, the impact of the surrounding environment, the error of the observation device, and the improper parameter selection usually yield the system error. The incremental Kalman filter can effectively solve the state estimation problem for the systems under poor observation condition.
Mandi Wang, Guangming Yan, Xiaojun Sun
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Coalitions for distributed sensor fusion

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997), 2003
We address the problem of efficient use of communication bandwidth in a network of distributed sensors. Each sensor node has enough computational power to fuse its own estimates with those of other nodes using an optimal filter, but message passing is expensive. The goal is to give each node an identical tactical picture of the area of interest without
M. Howard, D. Payton, R. Estkowski
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Distributed Paraconsistent Belief Fusion

2013
The current paper is devoted to belief fusion when information sources may deliver incomplete and inconsistent information. In such cases paraconsistent and commonsense reasoning techniques can be used to complete missing knowledge and disambiguate inconsistencies.
Barbara Dunin-Kęplicz, Andrzej Szałas
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Rumor-robust distributed data fusion

2010 IEEE Conference on Multisensor Fusion and Integration, 2010
We propose a novel Bayesian distributed data fusion methodology robust to the problem of rumor, i.e., of re-circulation of information accross the loops of a sensing & processing network. This problem is particularly important in mobile sensor networks where the communication graph is dynamically modified in an unpredictable manner.
Maria-Joao Rendas, Jose Manuel Leitao
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Distributed optimal linear fusion estimators

Information Fusion, 2020
Abstract This paper is concerned with the distributed information fusion estimation problem in multi-sensor environments. A universal distributed optimal linear fusion estimation (DOLFE) algorithm, which has a Kalman-type structure with matrix gains, is presented under the linear unbiased minimum variance criterion. To reduce the computational burden,
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Distributed fusion in sensor networks

IEEE Signal Processing Magazine, 2006
This paper presents an overview of research conducted to bridge the rich field of graphical models with the emerging field of data fusion for sensor networks. Both theoretical issues and prototyping applications are discussed in addition to suggesting new lines of reasoning.
M. Cetin, null Lei Chen, J.W. Fisher, A.T. Ihler, R.L. Moses, M.J. Wainwright, A.S. Willsky   +6 more
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Advanced algorithms for distributed fusion

SPIE Proceedings, 2008
The US Military has been undergoing a radical transition from a traditional "platform-centric" force to one capable of performing in a "Network-Centric" environment. This transformation will place all of the data needed to efficiently meet tactical and strategic goals at the warfighter's fingertips.
A. Gelfand, C. Smith, M. Colony, C. Bowman, R. Pei, T. Huynh, C. Brown   +6 more
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Distributed Information Fusion Particle Filter

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014
The method of particle filters as a main solution for non-linear is widely used in digital communication, target tracking, automatic control and signal processing region. In order to eliminate the existing problems such as low precision and low stability, the information fusion is introduced to fuse multiple different sensor measurement information ...
Lin Mao, Da Wei Yang
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Networking In Distributed Decision Fusion

SPIE Proceedings, 1988
The networking problem in distributed fusion system is considered. At a given time instant, the decisions from some sensors may not be available at the fusion center due to the transmission delays. Assuming that the fusion center has to make a decision based on the data from the rest of the sensors, provided that at least one peripheral decision has ...
Stelios C. A. Thomopoulos, Lei Zhang
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