基于GRNN和PNN的复杂电磁环境效应机理分析  

GRNN and PNN based mechanism analysis of complex electromagnetic environment effects

作　　者：李廷鹏 王满喜 彭丹华 袁航[2] LI Tingpeng;WANG Manxi;PENG Danhua;YUAN Hang(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,Luoyang 471003,China;Beihang University,Beijing 100191,China)

机构地区：[1]电子信息系统复杂电磁环境效应国家重点实验室,河南洛阳471003 [2]北京航空航天大学,北京100191

出　　处：《现代电子技术》2018年第23期145-148,152,共5页Modern Electronics Technique

摘　　要：复杂电磁环境效应机理分析对于提高电子信息系统的电磁环境适应性具有至关重要的作用。采用逆向思维方式,利用广义神经网络建立电子信息系统非线性模型,在对模型输出与系统真实输出的残差进行特征提取的基础上,利用概率神经网络进行效应和电磁环境因素分类,据此可对电子信息系统进行电磁环境效应的在线诊断。最后,以超外差接收机的复杂电磁环境效应分析作为案例进行研究,结果很好地验证了所提方法的有效性和实用性。The mechanism analysis of complex electromagnetic environment effects plays an important role to improve the electromagnetic environment adaptability of electronic information system.The reverse thinking way and generalized regression neural network(GRNN)are used to establish the nonlinear model of electronic information system.According to the feature extraction of residual error of model output and system real output,the probabilistic neural network(PNN)is adopted to classify the effect and electromagnetic environment factor,which can perform the online diagnosis for the electromagnetic environment effects of electronic information system.The complex electromagnetic environment effects analysis of super.heterodyne receiver is taken an instance for study.The effectiveness and practicability of the method are verified with results.

关 键 词：电磁环境效应 机理分析 神经网络 超外差接收机 GRNN PNN 

分 类 号：TN03-34[电子电信—物理电子学]