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通用数据链组网有效性评估的建模
李思佳,毛玉泉,李波,赵琪
0
(空军工程大学 电讯工程学院,西安 710077;空军工程大学 电讯工程学院,西安 710077;空军工程大学 空天信息工程研究中心, 西安 710051)
摘要:
根据现阶段综合信息网络的发展需求,考虑到通用数据链组网的 抗干扰能力强和保密性能高等特征,结合NFE即神经网络(NN)、模糊推理(FR)、专家系 统(ES)模型和 层次分析法(AHP),提出了通用数据链组网有效性研究的N FE-AHP模型,并仿真验证了NFE-AHP模型对于通用数据链组网有效性评估的适用性,结果表 明抗干扰度、鲁棒性、兼容 能力对通用数据链组网有效性评估尤为重要,对于通用数据链组网有效性评估的工程实践具 有一定的指导意义。
关键词:  通用数据链网络  层次分析  神经网络  模糊推理  专家系统
DOI:
基金项目:
Modeling on evaluation for CDL network validity
LI Si-jia,MAO Yu-quan,LI Bo,ZHAO Qi
(Telecommunications Engineering Institute, Air Force Engineering University, X i′an 710077,China;Telecommunications Engineering Institute, Air Force Engineering University, X i′an 710077,China;Air & Space Information Research Center, Air Force Engineering University,Xi′ an 710051,China)
Abstract:
According to the current development needs for the multiple information network and in consideration of the characters of the CDL(Common Data Link) network, suc h as stronger antijamming and higher security, the NFE-AHP model for the CDL network validity is proposed based on the N FE & AHP model. The application of NFE-AHP model in the CDL network validity is proved by simulation. The result show that the antijamming ablility, robustn ess and compatability are important for evaluating the CDL network validi ty. The research has significance in engineeringoriented application of evaluation for the CDL network validity.
Key words:  common data link(CDL) network  analytic hierarchy proc ess(AHP)  neural network(NN)  fuzzy reasoning(FR)  expert system(ES)