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Method Research On Describing And Modeling Multisource Information

Posted on:2007-11-19Degree:MasterType:Thesis
Country:ChinaCandidate:X B XuFull Text:PDF
GTID:2178360185453923Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Multisource information fusion is a changeable, opening and nonlinear system, in which, many uncertainties are found in the form of information, dynamic features of objects in surveillance area and the processing of multisource information. For decades, although we have made remarkable progress in this field in theory and in practice, the difficulties in dealing with uncertainties and the lack of feasible mathematical foundation of information fusion have made the unified methods of describing multisource information with uncertainties and the general system model and fusion algorithms not found. Therefore, the basic theoretical framework of fusion is not yet established to this day. Currently in the research of fusion theory and the exploitation of fusion technology, it is very vital to unifiedly describe and model multisource information with uncertainties so as to process them by the perfect fusion algorithms.In this dissertation, I develop the research work of the following three aspects about describing and modeling multisource information:1. This dissertation reviews the development of data fusion, and gives the conception of multisource information fusion based on an example of fusion system-radar information processing system. Subsequently, four pivotal problems are presented in military fusion system; finally, the importance of unified describing and modeling multisource information is proved.2. In multisource information space, every type of information is projected to respective subspace by the method of space decomposition; a...
Keywords/Search Tags:multisource information fusion, random set theory, ambiguous evidence, fuzzy set theory, Kalman filtering
PDF Full Text Request
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