@inproceedings{1898f400e7db4c86b24f735cbec9aced,
title = "Generalized covariance intersection based on noise decomposition",
abstract = "In linear decentralized estimation, several nodes concurrently aim to estimate the state of a common phenomenon by means of local measurements and data exchanges. In this contribution, an efficient algorithm for consistent estimation of linear systems in sensor networks is derived. The main theorems generalize Covariance Intersection by means of an explicit consideration of individual noise terms. We apply the results to linear decentralized estimation and obtain covariance bounds with a scalable precision between the exact covariances and the bounds provided by Covariance Intersection.",
author = "Marc Reinhardt and Sanjeev Kulkarni and Hanebeck, {Uwe D.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 ; Conference date: 28-09-2014 Through 30-09-2014",
year = "2014",
month = dec,
day = "23",
doi = "10.1109/MFI.2014.6997718",
language = "English (US)",
series = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
address = "United States",
}