摘要
复杂电磁环境下雷达辐射源识别问题是当前急需解决的难题。针对雷达辐射源识别中不确定信息影响,改进数据库比对识别法,通过融合BAM神经网络(NN)和模糊推理(FR),建立基于NN-FR的雷达辐射源识别模型,以达到缩短识别时间,提高识别效率的目的,为复杂电磁环境下识别雷达辐射源探索新的方法。
The radar emitter recognition under the complex electromagnetic environment is the difficult problem needed to settle urgently.Aiming at setting the problem of uncertain information,the database correlative method recognition is improved,the radar emitter recognition model based on NN-FR is built through fusing BAM and NN.So that the recognition time is reduced and the recognition efficiency is raised.One new method for the radar emitter recognition under the complex electromagnetic environment is explored.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第12期239-241,共3页
Computer Engineering and Applications
关键词
辐射源识别
神经网络
模糊推理
信息融合
radar emitter recognition
neural network
fuzzy reasoning
information fusion
