【摘要】 实验中获取的弹丸激波信号因高频噪声的影响而几乎被淹波,预处理方法的研究对于有用信号的识别非常重要。文中通过分析弹丸激波信号的特点,利用经验模态分解对弹丸激波信号进行了特征提取与选择,将本征模态函数分量及其瞬时频率作为特征,获得了较理想的N波信号处理结果。实验结果表明,该算法不仅能有效提取高噪条件下弹丸激波信号特征,而且易于硬件实现。更多还原

【Abstract】 The shockwave signals obtained in experiment were nearly submerged in the high-frequent noise,so it is very important to develop the preprocessing method for identifying the useful signals.By analysis of the properties of shockwave signal,the empirical mode decomposition was adopted to extract and select its characteristics.Intrinsic mode function components and instantaneous frequency were collected to obtain better processed results.The results prove that the method could not only effectively extract the characteristics of the shockwave signal in high noise,but also be apt to implement with the hardware.更多还原