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 :
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