强激光与粒子束2013，Vol.25Issue(2)：522-526,5.DOI:10.3788/HPLPB20132502.0522
基于时频图像分析的核爆与雷电电磁脉冲识别
Discrimination of nuclear explosion and lightning electromagnetic pulse using time-frequency image analysis
摘要
Abstract
In this paper, the Hilbert spectrum is used to analyze the nuclear explosion and lightning electromagnetic pulse for NEMP and LEMP signals based on their non-stationary and non-linear characters. The region features of Hilbert spectrum of NEMP and LEMP signals are calculated to discriminate them, and the discrimination result is analyzed based on different mechanisms of the nuclear explosion and lightning. The experiment results indicate that, using the nearest neighbor pattern classification method, the average discrimination rate of NEMP and LEMP signals is over 90% based on area, the center of gravity and six dimension image region features of Hilbert spectrum. Finally, we get a conclusion that the image region features of the Hilbert spectrum are effective features to discriminate NEMP and LEMP.关键词
核爆电磁脉冲/雷电电磁脉冲/识别/时频图像分析Key words
nuclear electromagnetic pulse/ lightning electromagnetic pulse/ discrimination/ time-frequency image analyse分类
通用工业技术引用本文复制引用
祁树锋,李夕海,韩绍卿,陈蛟,刘代志..基于时频图像分析的核爆与雷电电磁脉冲识别[J].强激光与粒子束,2013,25(2):522-526,5.基金项目
国家自然科学基金项目(40974037) （40974037）
中国博士后科学基金项目(201150M1554) （201150M1554）
