DocumentCode
2667722
Title
Adaptive genetic algorithm evidence model and its application for discriminating enemy radar operation intention
Author
Wei, Pan ; Wenjun, Li ; Jinsong, Yang
Author_Institution
Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1088
Lastpage
1093
Abstract
Considering the signatures captured from information about the hostile radar operation intention, this paper puts forward concepts of the simplest evidence support format, duality evidence support format, and same-type evidence and so on. Based on these concepts, it discusses the problem of the orthogonal sum with the duality evidence support format expressed as the simplest evidence support format, and then, drawing its conclusion to show the relation between the enemy intention and the characteristic information. Thereby, it establishes a system for radar operation intention discrimination to complete the final determinant. This new model brings expression and combination of evidences simplified and computation reduced. By practical application, this algorithm has been proved feasibility and effectiveness.
Keywords
genetic algorithms; image recognition; military radar; radar imaging; adaptive genetic algorithm evidence model; characteristic information; duality evidence support format; enemy radar operation intention; evidence combination; final determinant; hostile radar operation intention; radar operation intention discrimination; same-type evidence; simplest evidence support format; Adaptation models; Algebra; Computational modeling; Genetic algorithms; Genetics; Missiles; Radar; adaptive genetic algorithm; combination algorithm; evidence model; performance analysis; radar intention recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244173
Filename
6244173
Link To Document