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《Journal of Air Force Radar Academy》 2006-01
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Design of Multi-sensor Data Fusion Algorithms Evaluation Platform

CHENG Yun-Peng1,XIAO Bing2(1.Group of Graduate Management,AFRA,Wuhan 430019,China;2.Department of Information & Command Automation,AFRA,Wuhan 430019,China)  
In order to use the best fusion algorithm,a sort of fusion algorithm test platform was designed.The fusion results were quantificationally analyzed and evaluated after adopting Bayes theory and D-S evidence theory respectively to recognize targets on this platform.It is proved that the platform can be used to evaluate the different fusion algorithms ’performances as a test tool while choosing the algorithms.
【Fund】: 海军装备部十五预研计划基金资助项目(101040401020)
【CateGory Index】: TP202
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1 SHANG Chao-xuan;WANG Pin;HAN Zhuang-zhi;Department of Electronics and Optics Engineering,Ordnance Engineering College;;Application of SystemVue in Radar Network Simulation System[J];电光与控制;2016-02
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5 LIU-Yi1,GAO Xiao-guang1,LU Guang-shan2,CHEN Hong-lin1 (1.School of Electronic and Information,Northwestern Polytechnical University,Xi'an 710072,China) (2.Luoyang Institute of Electro-optical Equipment,Luoyang 471009,China);Airborne Multi-Agent Information Fusion and Decision-Making System[J];火力与指挥控制;2007-09
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