Data fusion of radar and IFF for aircraft identification

查看全文 作　　者：Yuanquan [1,2]Tan;dianyu [1]Yang;Liangchao [1]Li;Jintao [1]Xiong

机构地区：[1]School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, E R. China;[2]Sichuan Jiuzhou Electronic Technology Company, Mianyang 621000, E R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2012年第23卷第5期,共8页

摘　　要：The problem of identification of friend-or-foe aircraft in the actual application condition is addressed.A hybrid algorithm combining fuzzy neutral network with probability factor(FNNP),multi-level fuzzy comprehensive evaluation and the DempsterShafer(D-S) theory is proposed.This hybrid algorithm constructs a complete process from generating the fuzzy database to the final identification,realizes the identification of friend-or-foe automatically if the training samples or expert's experience can be obtained,and reduces the effect of uncertainties in the process of identification.At the same time,the whole algorithm can update the identification result with the augment of observations.The performance of the proposed algorithm is assessed by simulations.Results show that the proposed algorithm can successfully deduce the aircraft's identity even if the observations have measurement errors. 关键词：敌我识别飞机识别数据融合多级模糊综合评价混合算法雷达模糊神经网络模糊数据库

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Data fusion of radar and IFF for aircraft identification

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