Data Fusion and Bayes Estimation Algorithm Research
Yulian Gai, Yaping Wang
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.79How to use a DOI?
- Data Fusion, Bayes Estimation Algorithm, Multi-Source Data, Data Processing, Likelihood Function
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/isccca.2013.79 ID - Gai2013/02 ER -