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Abstract
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Article Information:
Uncertainty Analysis of Integrated Navigation Model for Underwater Vehicle
Zhang Tao, Qi Yong-qi
Corresponding Author: Zhang Tao
Submitted: July 17, 2012
Accepted: August 17, 2012
Published: February 11, 2013 |
Abstract:
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In this study, to reduce information uncertainty of integrated navigation model for underwater vehicle, we present a multi-sensor information fusion algorithm based on evidence theory. The algorithm reduces attribution by rough set in order to acquire simplified ELMAN neural network and improve basic probability assignment. And then it uses improved D-S evidence to deal with the inaccuracy and fuzzy information, make the final decision. The simulation example shows feasibility and effectiveness of the algorithm.
Key words: Basic probability assignment, evidence theory, information fusion, uncertainty analysis, underwater vehicle, ,
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Abstract
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Cite this Reference:
Zhang Tao, Qi Yong-qi, . Uncertainty Analysis of Integrated Navigation Model for Underwater Vehicle. Research Journal of Applied Sciences, Engineering and Technology, (05): 1614-1620.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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