Data fusion of radar and IFF for aircraft identification  

作　　者：Yuanquan Tan dianyu Yang Liangchao Li Jintao 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》2012年第5期715-722,共8页系统工程与电子技术（英文版）

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.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：fuzzy neutral network with probability factor（FNNP） multi-level fuzzy comprehensive evaluation Dempster-Shafer（D-S） theory identification of friend-or-foe（IFF） 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TN959.17[自动化与计算机技术—计算机科学与技术]