摘要
航电系统是现代战机的重要组成部分,也是实现任务合成、能力融合和资源综合的重要支撑手段,作战飞机的性能高低与航电系统的效能密切相关。针对目前航电系统效能评价指标体系复杂、人为评估分歧较大等问题,设计了基于小波神经网络法的航电系统效能评估方法,并设计了航电效能评估系统,结合层次分析法(AHP)构建指标体系,最终专家判断打分得出权重并通过小波神经网络对判断值予以修正。与特定能力下航电效能评估相比,该评估系统指标体系更为丰富,同时对指标权重有着良好的修正效果,为航电系统效能评估提供工具原型支持。
Avionics system is an important part of modern fighter,and it is an important support means to achieve mission integration,capability integration and resource integration. The performance of combat aircraft is closely related to the effectiveness of avionics system. Aiming at the problems of complex evaluation index system of avionics system and great divergence of expert evaluations,this paper designs an effectiveness evaluation method for avionics system based on wavelet neural network method,and presents an avionics effectiveness evaluation system. Based on the Analytic Hierarchy Process( AHP) ,the index system is constructed. Finally,the weights are obtained through judging and scoring of the experts,and the judgment value is modified through wavelet neural network. Compared with avionics effectiveness evaluation under specific capability,the evaluation system has more abundant indexes and good correction effect on the weights of the indexes,which provides a tool prototype support for avionics system effectiveness evaluation.
作者
余婧
周璇
何锋
谷晓燕
YU Jing;ZHOU Xuan;HE Feng;GU Xiaoyan(Beihang University,Beijing 100000,China;Beijing Information Science & Technology University,Beijing 100000,China)
出处
《电光与控制》
CSCD
北大核心
2021年第9期70-74,共5页
Electronics Optics & Control
基金
国家自然科学基金(71701020)
国防基础科研(JCKY2016204A102)。
