强激光与粒子束2012，Vol.24Issue(9)：2259-2263,5.DOI:10.3788/HPLPB20122409.2259
小波计盒分形维数核爆电磁脉冲信号模糊识别
Fuzzy identification of NEMP signal based on wavelet and box-counting dimension eigenvalue
摘要
Abstract
The paper investigates an NEMPCnuclear electromagnetic pulse) detection technique in the absence of nuclear testing. After threshold demodulation, DC elimination, filtering, interpolation and normalization, the method uses wavelet analysis to extract the forth segment of wavelet pack energy spectrum, the first and forth segments of wavelet coefficient box-counting dimension as eigenvalues, establishes their respective membership functions according to statistical analysis, and then uses the fuzzy identification theory to identify NEMP signals. The method has been used to process measured NEMP signals and LEMP(lightning electromagnetic pulse) signals, which are the main source of interference. The identification rate is 99. 41%.关键词
核爆电磁脉冲/闪电电磁脉冲/模糊识别/小波分析Key words
nuclear electromagnetic pulse/ lightning electromagnetic pulse/ fuzzy identifications wavelet analysis分类
能源科技引用本文复制引用
庞新良,李鹏,范江兵,常芸芬,李欣..小波计盒分形维数核爆电磁脉冲信号模糊识别[J].强激光与粒子束,2012,24(9):2259-2263,5.基金项目
博士后科学基金面上资助项目(20090451530) （20090451530）
