【摘要】：次聲信號(hào)檢測(cè)是次聲事件監(jiān)測(cè)的重要環(huán)節(jié),常用的短時(shí)平均與長(zhǎng)時(shí)平均之比STA/LTA(Short Term Average to Long Term Average)和著名的逐次多通道互相關(guān)方法PMCC(the Progressive Multiple Cross-Correlation)誤檢率都比較高.為此,提出一種時(shí)頻域信號(hào)能量統(tǒng)計(jì)的次聲信號(hào)檢測(cè)方法,其基本原理是根據(jù)目標(biāo)信號(hào)與噪聲的頻域分布差異,采用窄帶分頻技術(shù)將待檢波形變換到時(shí)頻域,按時(shí)頻格點(diǎn)計(jì)算局部平均能量與全局平均能量之比,當(dāng)比值大于設(shè)定閾值時(shí),認(rèn)為該格點(diǎn)屬于目標(biāo)信號(hào)的一部分。以國(guó)際監(jiān)測(cè)系統(tǒng)次聲臺(tái)站監(jiān)測(cè)數(shù)據(jù)為對(duì)象進(jìn)行了實(shí)驗(yàn)研究,并與PMCC檢測(cè)結(jié)果進(jìn)行了比較,結(jié)果表明所提出的信號(hào)檢測(cè)方法對(duì)微弱次聲信號(hào)檢測(cè)能力強(qiáng)、誤檢信號(hào)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.
【作者單位】： 禁核試北京國(guó)家數(shù)據(jù)中心;
【基金】：國(guó)防預(yù)研基金資助
【分類號(hào)】：TB52;TN911.23

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