基于峰度特征的瞬态电磁信号检测提取方法
Transient Electromagnetic Signal Detection and Extraction Based on Kurtosis Value
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摘要: 瞬态电磁信号持续时间短,对其进行数据采集和信号处理时,噪声干扰等冗余数据多。利用峰度在表征瞬变、冲击等脉冲信号方面的优势,基于峰度特征和滑动窗技术,研究了噪声干扰下瞬态电磁信号的检测提取方法。分析结果表明,瞬态电磁信号和噪声干扰信号之间的峰度特征值具有较高的区分度,且稳定性好,受信号强度等参数变化的影响小,可用于对单个及多个瞬态电磁信号的检测提取。该方法能有效降低噪声干扰等冗余数据占比,且计算量小、简单便捷,仿真计算和实测结果也验证了该方法的可行性。Abstract: Transient electromagnetic signals have a short duration, and there are many redundant data such as noise and interference when carrying out data acquisition and signal processing. The values of kurtosis have significant advantages in characterizing pulse signals such as transients and shocks. Based on kurtosis and sliding window, the detection and extraction method of transient electromagnetic signals under noise and interference has been studied in this paper. The analysis results show that the kurtosis eigenvalues between the transient electromagnetic signal and the noise interference signal have high distinguish ability, good stability and little influence by the changes of signal strength and other parameters. It can be used to detect and extract single or multiple transient electromagnetic signals. This method can effectively reduce the proportion of invalid data such as noise and interference signals, it has less calculation, so it is simple and fast. Simulation and experimental results also verify the feasibility of this method.