A Survey of Radar ECCM Method with Neural Network

摘要：

Aiming at the limitation of radar ECCM method at present, a new method of radar ECCM with neural network is proposed. Firstly, three kinds of neural network models that are applied successfully in the radar ECCM field are introduced, including BP network, RBF network and Kohonen network; then three main ways of neural network applied in radar ECCM namely, the neural network used in modeling, feature extracting and classifying, are generalized, as well as the neural network combined with other intelligent technology such as time frequency analysis and genetic algorithm; finally, the conclusion and the research direction are given.

关键词： Radar ECCM Neural network Modeling Feature extract Classifying

作者: GUO Jianming LI Jianxun LV Qiang XUE Chunhua

作者单位: Department of Electronics Engineering, Beijing Institute of Technology;Beijing Radar Research Instit Beijing Radar Research Institute;Academy of Armored Forces Engineering, Beijing Lab 1, Mail box 2862 Academy of Armored Forces Engineering, Beijing Lab 1, Mail box 2862, Beijing, Guo Jianming, 100085 Beijing Radar Research Institute

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）