摘要
提出了一种利用后向传播神经网络来评估分布式雷达抗干扰效能的方法。该方法将试验数据的专家评估结论作为样本训练网络,并利用训练好的网络对几组数据进行评估。将网络评估结果与传统加权评估和模糊综合评估的结果相比较,结果表明神经网络法是一种评估分布式雷达抗干扰效能的有效方法。
A new method to evaluate the anti-jamming effectiveness is proposed for the distributed radar system based on the neural network. Experts evaluation of measured data is used as sample to train the neural network. Then,the well-trained network is applied to evaluate several sets of data. At the end of this paper,the comparison of the method of neural network evaluation,conventional weighting evaluation and fuzzy comprehensive evaluation is presented,which draws a conclusion that neural network is a useful method to evaluate the anti-jamming effectiveness for distributed radar.
出处
《现代雷达》
CSCD
北大核心
2015年第7期4-7,11,共5页
Modern Radar
关键词
分布式雷达
抗干扰效能评估
模糊综合评估
神经网络
评估指标
distributed radar
anti-jamming effectiveness evaluation
fuzzy comprehensive evaluation
neural network
evaluation index