【摘要】 根据核爆和雷电电磁脉冲信号非平稳、非线性特点,采用Hilbert-Huang变换(HHT)方法对NEMP和LEMP信号进行时频分析,发现二者Hilbert谱中的能量集中于一定时间和频率范围内。基于以上分析,提出基于Hilbert谱区域能量比特征,采用最近邻法则对二者进行识别研究。实验结果表明,在Hilbert谱中适当选择两个区域,以该区域能量比为特征对核爆和雷电电磁脉冲信号进行识别,平均识别率达到90%以上。更多还原

【Abstract】 Here,Hilbert-Huang transformation(HHT) was used to analyze nuclear explosion and lightning electromagnetic pulses(NEMP and LEMP),these signals had non-stationary and non-linear characteristics.It was found that the energy in a Hilbert spectrum is focused on certain time and frequency regions.Based on the above analysis and discovery,the regional energy ratio of Hilbert spectrum was presented,with it the discrimination of NEMP and LEMP was studied.The test results indicated that using the nearest neighbor pattern classification,the average discrimination rate of NEMP and LEMP is over 90%based on regional energy ratio of Hilbert spectrum.更多还原