Data Fusion and Bayes Estimation Algorithm Research

DOI

10.2991/isccca.2013.79How to use a DOI?

Keywords

Data Fusion, Bayes Estimation Algorithm, Multi-Source Data, Data Processing, Likelihood Function

Abstract

This paper starts from the prospective of data processing and use of information, analysis the meaning and realistic background of processing integrated data by using Data Fusion technology. On the basis of a clear basic idea and principle theory of Data Fusion, studies and discusses its hierarchical levels from three aspects. A relatively comprehensive description of Data Fusion process is given in the paper. Incorporate with the description of the basic principles and ideas of Bayes estimation algorithm, identifies the limitation of Bayes estimation algorithm. The practical significance of Data Fusion technology in dealing with information uncertainty and incompleteness are summarized.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yulian Gai
AU  - Yaping Wang
PY  - 2013/02
DA  - 2013/02
TI  - Data Fusion and Bayes Estimation Algorithm Research
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 323
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.79
DO  - 10.2991/isccca.2013.79
ID  - Gai2013/02
ER  -