王杰民,殷海涛. 2018. 基于S变换的高频全球导航卫星系统同震数据的震相识别研究. 地震学报,40(6):753−759. doi:10.11939/jass.20180029. doi: 10.11939/jass.20180029
引用本文: 王杰民,殷海涛. 2018. 基于S变换的高频全球导航卫星系统同震数据的震相识别研究. 地震学报,40(6):753−759. doi:10.11939/jass.20180029. doi: 10.11939/jass.20180029
Wang J M,Yin H T. 2018. Seismic phase recognition of coseismic data from high-rate GNSS based on S transform. Acta Seismologica Sinica40(6):753−759. doi:10.11939/jass.20180029. doi: 10.11939/jass.20180029
Citation: Wang J M,Yin H T. 2018. Seismic phase recognition of coseismic data from high-rate GNSS based on S transform. Acta Seismologica Sinica40(6):753−759. doi:10.11939/jass.20180029. doi: 10.11939/jass.20180029

基于S变换的高频全球导航卫星系统同震数据的震相识别研究

Seismic phase recognition of coseismic data from high-rate GNSS based on S transform

  • 摘要: 为研究高频全球导航卫星系统(GNSS)信号的P波和S波到时,本文利用2008年汶川MS8.0地震震时部分站点记录到的1 Hz高频GNSS数据,采用广义S变换将同震信号进行二维时频域平面分解,以此对P波和S波到时进行识别。本文通过调整广义S变换中的调节因子λap得出,当λa=1.05,p=1.05时,变换所得图像中的P波和S波到时均较为明显。结果表明,S变换在高频GNSS震相识别中效果明显,可作为GNSS地震学应用中一项有效的技术手段。

     

    Abstract: The high-rate GNSS data recorded by some stations during the 2008 Wenchuan MS8.0 earthquake was used in this paper to identify the arrive time of P-wave and S-wave in 1 Hzhigh-rate GNSS. Coseismic signals are decomposed in two-dimensional time-frequency domain using generalized S transform. The adjustment factors λa=1.05, p=1.05 is used to identify the arrival times of P-wave and S-wave, which could get a better result. The S transform is effec-tive and feasible in the high-rate GNSS seismic phase recognition.

     

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