摘要
根据浅海舰船航行过程中引起的海底振动所形成的舰船地震波,对界面波的识别技术进行研究。提出了基于两个传感器采集到的时域信号人工合成地震记录,采用τ-p方法实现Scholte波的提取,利用匹配追踪方法和魏格纳变换对Scholte波进行识别,实现了两个传感器对多道地震记录的合成,通过匹配追踪方法和魏格纳变换对τ-p变换提取出的Scholte波进行识别,从而精确提取出了Scholte波的频率、速度、能量。
Based on the shallow sea ship vibration caused by the process of the formation of the ship seismic wave, the recognition technology of the interracial waves is studied. The seismic records are synthesized within the time domain signals collected by two sensors. The Scholte wave is extracted by the τ-ρ method, and the Scholte wave is identified by the matc- hing tracking method and the Wigner transform. In order to realize the target detection, the Scholte wave is extracted by the τ-ρ method. The Scholte wave is extracted from the τ-ρ transform by the method of matching and Wigner transform, and the frequency, speed and energy of the Scholte wave are accurately extracted from the multi-channel seismic records by the above research.
作者
邵雨新
李环
张自圃
刘云龙
SHAO Yuxin LI Huan ZHANG Zipu LIU Yulong(Shenyang Ligong University, Shenyang 110159, China)
出处
《沈阳理工大学学报》
CAS
2017年第3期32-37,共6页
Journal of Shenyang Ligong University
基金
辽宁省科学技术计划项目(2015020028)
