文章摘要
陈虎虎,王同东,沈旭峰.基于慢度估计的次声台阵信号自动检测算法及应用[J].声学技术,2015,34(1):85~89
基于慢度估计的次声台阵信号自动检测算法及应用
An auto detection algorithm based on slowness estimation for infrasonic array signals and its application
投稿时间:2013-09-02  修订日期:2013-12-15
DOI:10.16300/j.cnki.1000-3630.2015.01.016
中文关键词: 慢度估计  渐进多通道互相关  信号检测
英文关键词: slowness estimation  PMCC  signal detection
基金项目:
作者单位E-mail
陈虎虎 西北核技术研究所, 陕西西安 710024 chenhuhu@nint.ac.cn 
王同东 西北核技术研究所, 陕西西安 710024  
沈旭峰 西北核技术研究所, 陕西西安 710024  
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中文摘要:
      针对次声监测研究领域广泛使用的短时间与长时间信号功率比检测方法性能不能满足要求,渐进多通道互相关检测算法虚警率较高的缺点,利用信号的时、频、波数域特性和次声台阵各子台信号的互相关性特性,提出了一种基于次声台阵信号慢度估计的自动检测算法。次声信号慢度估计结果的合理性、一致性是该检测算法的依据。考虑到该检测算法计算量较大,在具体应用中加入其他计算量较小的传统算法,进行逐次检测,最后应用的慢度估计方法既是一种检测方法,也是对其他检测算法结果的最终审核,一方面可以降低单项检测方法对检测参数的敏感性,另一方面也可提高检测的正确率(虚警率和漏警率同时降低)。该复合检测算法应用于某实验次声台站信号的检测(信噪比大于1.1),结果虚警率为4.0%,漏警率为5.0%,表明了该方法的优良性能。从检测应用处理结果还可以推测,结合一个区域现有密集的地震台站数据和2~3个次声台阵的数据,可以方便地识别、监控爆破方式日益复杂的人工爆破事件和真正的地震(余震)事件,为地震灾害减灾防灾、采矿监控等多领域服务,具有重大推广价值。
英文摘要:
      An auto-detection algorithm based on slowness estimation is presented for infrasonic array signals to overcome the low performance of STA/LTA detection algorithm and the high false-alarm rate of PMCC algorithm. The principle of the algorithm is introduced by following descriptions of slowness estimation in time domain and wave number domain. Tactful compensations are made for this algorithm to reduce computation time, for which a series of simple detection algorithms are used before running the main algorithm to eliminate the apparent noise. Thus a hybrid detection algorithm is finally implemented to achieve high performance in real time. The results of applying the hybrid detection algorithm to signal detections of an experimental infrasound array in Xinjiang show that a better performance with the false-alarm rate of 4% and the missing alarm rate of 5% has achieved, and so the problem on high false-alarm rate of traditional detection algorithm is solved. An inference can also be drawn from the detection results, such as from the data acquired by a regional seismic net in association with 2-3 infrasonic arrays, the regional manmade explosion events can be monitored and distinguished easily from true earthquake events.
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