Journal ArticleDOI
Data fusion in decentralized sensor networks
S. Grime,Hugh Durrant-Whyte +1 more
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TLDR
The results show that the decentralized data fusion system described in this paper offers many advantages in terms of robustness, scalability and flexibility over a centralized system.About:
This article is published in Control Engineering Practice.The article was published on 1994-10-01. It has received 362 citations till now. The article focuses on the topics: Sensor fusion & Wireless sensor network.read more
Citations
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Proceedings ArticleDOI
A scheme for robust distributed sensor fusion based on average consensus
TL;DR: This work proposes a simple distributed iterative scheme, based on distributed average consensus in the network, to compute the maximum-likelihood estimate of the parameters, and shows that it works in a network with dynamically changing topology, provided that the infinitely occurring communication graphs are jointly connected.
Proceedings ArticleDOI
Distributed Kalman Filter with Embedded Consensus Filters
TL;DR: This paper shows that a central Kalman filter for sensor networks can be decomposed into n micro-Kalman filters with inputs that are provided by two types of consensus filters, and demonstrates that these filters can approximate these sums and give an approximate distributed Kalman filtering algorithm.
Proceedings ArticleDOI
Consensus Filters for Sensor Networks and Distributed Sensor Fusion
Reza Olfati-Saber,Jeff S. Shamma +1 more
TL;DR: This paper introduces a distributed filter that allows the nodes of a sensor network to track the average of n sensor measurements using an average consensus based distributed filter called consensus filter.
Proceedings ArticleDOI
A non-divergent estimation algorithm in the presence of unknown correlations
Simon Julier,Jeffrey Uhlmann +1 more
TL;DR: It is proved that this algorithm yields consistent estimates irrespective of the actual correlations, which is illustrated in an application of decentralised estimation where it is impossible to consistently use a Kalman filter.
Journal ArticleDOI
A Review of Data Fusion Techniques
TL;DR: This paper summarizes the state of the data fusion field and describes the most relevant studies, enumerate and explain different classification schemes for data fusion, and reviews the most common algorithms.
References
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Journal ArticleDOI
Survey of decentralized control methods for large scale systems
TL;DR: In this article, the authors survey the control theoretic literature on decentralized and hierarchical control, and methods of analysis of large scale systems, and present a survey of the control theory of large-scale systems.
Journal ArticleDOI
Decentralized structures for parallel Kalman filtering
TL;DR: H hierarchical network structures are developed that have the property that the optimal global estimate based on all the available information can be reconstructed from estimates computed by local processor nodes solely on the basis of their own local information and transmitted to a central processor.