DocumentCode
262751
Title
A new self-adaptive fusion algorithm based on DST and DSmT
Author
Xiao-Hong Yu ; Qing-Jun Zhou ; Yan-Li Li ; Jin An ; Zhi-Cheng Liu
Author_Institution
Jiangsu Autom. Res. Inst., Lianyungang, China
fYear
2014
fDate
7-10 July 2014
Firstpage
1
Lastpage
7
Abstract
A new self-adaptive fusion algorithm based on DST and DSmT is proposed. In the new algorithm, part of the conflicting information is normalized according to DST, while the other part is processed by DSmT. A controlling factor is used to control the quantity of information dealt by the two different methods adaptively, which is a new method avoiding setting for the threshold of conflict. The simulation results indicate that the new self-adaptive fusion algorithm based on DST and DSmT can deal with any conflicting situation with a good performance of convergence.
Keywords
information theory; sensor fusion; uncertainty handling; DST; DSmT; Dempster-Shafer theory; Dezert-Smarandache theory; conflict threshold; controlling factor; information fusion; information quantity control; self-adaptive fusion algorithm; Algorithm design and analysis; Automation; Complexity theory; Convergence; Reliability; Simulation; Uncertainty; DST; DSmT; controlling factor; information fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location
Salamanca
Type
conf
Filename
6915982
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