摘要
分析了雷达辐射源识别的发展现状和存在的问题,提出了一种基于反向传播(BP)神经网络和贝叶斯推理的雷达辐射源目标识别方法,阐述了BP神经网络和贝叶斯推理的原理,构建了相关的识别模型,通过仿真实验检验了模型的准确性,并提出了其发展前景。
This paper analyzes the development status and existent problems of radar radiation source identification,puts forward a target identification method of radar radiation source based on back propagation（BP） neural net and Bayes reasoning,expatiates the principle of BP neural net and Bayes reasoning,constructs the correlative identification model,verifies the veracity of the model through the simulation experiment,and brings forward the development foreground.
出处
《舰船电子对抗》
2012年第4期15-18,共4页
Shipboard Electronic Countermeasure
关键词
雷达辐射源
神经网络
贝叶斯推理
radar radiation source
neural net
Bayes reasoning
