@inproceedings{9a573a9ad88348f6999e2a8e72f408c9,
title = "The optimality of a class of distributed estimation fusion algorithm",
abstract = "When the measurement noises across sensors at the same time may be correlated, for linear minimum mean-squared errors (LMMSE) estimation, a systematic way to handle the corresponding distributed estimation fusion problem is proposed in this paper based on a unified data model for linear unbiased estimation. The optimality (equivalence to the optimal centralized estimation fusion) of the new optimal distributed estimation fusion algorithm is then analyzed. A necessary and sufficient condition of the optimality for the general case and sufficient conditions for two special cases are given. Comparisons with the existing distributed estimation fusion algorithms are also discussed.",
keywords = "Centralized fusion, Cross correlation, Distributed fusion, Estimation fusion, Linear minimum mean-squared errors",
author = "Zhansheng Duan and Li, \{X. Rong\}",
year = "2008",
doi = "10.1109/ICIF.2008.4632358",
language = "英语",
isbn = "9783000248832",
series = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
booktitle = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
note = "11th International Conference on Information Fusion, FUSION 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
}