次声信号的时频信号能量统计检测方法
发布时间：2018-10-21 18:51
【摘要】：次声信号检测是次声事件监测的重要环节,常用的短时平均与长时平均之比STA/LTA(Short Term Average to Long Term Average)和著名的逐次多通道互相关方法PMCC(the Progressive Multiple Cross-Correlation)误检率都比较高.为此,提出一种时频域信号能量统计的次声信号检测方法,其基本原理是根据目标信号与噪声的频域分布差异,采用窄带分频技术将待检波形变换到时频域,按时频格点计算局部平均能量与全局平均能量之比,当比值大于设定阈值时,认为该格点属于目标信号的一部分。以国际监测系统次声台站监测数据为对象进行了实验研究,并与PMCC检测结果进行了比较,结果表明所提出的信号检测方法对微弱次声信号检测能力强、误检信号少.
[Abstract]:Infrasound signal detection is an important link in infrasound event monitoring. The ratio of short-time average to long-time average (STA/LTA (Short Term Average to Long Term Average) and the well-known successive multichannel cross-correlation method (PMCC (the Progressive Multiple Cross-Correlation) are both relatively high in error detection rate. Therefore, a method of infrasound signal detection based on energy statistics in time-frequency domain is proposed. The basic principle is to transform the waveform to be detected in time-frequency domain according to the difference of frequency distribution between target signal and noise, and the narrow-band frequency division technique is used to transform the waveform to time-frequency domain. The ratio of local average energy to global average energy is calculated by time-frequency lattice point. When the ratio is greater than the threshold value, the lattice point is considered to be part of the target signal. The infrasound monitoring data of the international monitoring system are studied experimentally and compared with the results of PMCC. The results show that the proposed signal detection method has a strong ability to detect weak infrasound signals and less false signals.
【作者单位】： 禁核试北京国家数据中心;
【基金】：国防预研基金资助
【分类号】：TB52;TN911.23
[Abstract]:Infrasound signal detection is an important link in infrasound event monitoring. The ratio of short-time average to long-time average (STA/LTA (Short Term Average to Long Term Average) and the well-known successive multichannel cross-correlation method (PMCC (the Progressive Multiple Cross-Correlation) are both relatively high in error detection rate. Therefore, a method of infrasound signal detection based on energy statistics in time-frequency domain is proposed. The basic principle is to transform the waveform to be detected in time-frequency domain according to the difference of frequency distribution between target signal and noise, and the narrow-band frequency division technique is used to transform the waveform to time-frequency domain. The ratio of local average energy to global average energy is calculated by time-frequency lattice point. When the ratio is greater than the threshold value, the lattice point is considered to be part of the target signal. The infrasound monitoring data of the international monitoring system are studied experimentally and compared with the results of PMCC. The results show that the proposed signal detection method has a strong ability to detect weak infrasound signals and less false signals.
【作者单位】： 禁核试北京国家数据中心;
【基金】：国防预研基金资助
【分类号】：TB52;TN911.23
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