Data Fusion and Bayes Estimation Algorithm Research

Yu Lian Gai; Ya Ping  Wang

doi:10.4028/www.scientific.net/AMM.347-350.2620

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Data Fusion and Bayes Estimation Algorithm...

Data Fusion and Bayes Estimation Algorithm Research

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.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

2620-2624

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.2620

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Online since:

August 2013

Authors:

Yu Lian Gai, Ya Ping Wang

Keywords:

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

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