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使用相匹配滤波技术提取基阶面波振型的相位，然后再利用时变滤波进行 振幅谱校正，以此分离出基阶振型面波信号。对合成面波理论地震图的处理结果表 明，该方法可精确地从含高阶（最高阶数为５）的综合地震图中分离出基阶面波，与利 用同一模型合成的基阶面波相比，分离出的基阶面波的振幅谱畸变很小，根据中国数 字化地震台网（ＣＤＳＮ）记录的长周期面波资料，对与震源位于同一大圆弧上的北京。 海拉尔台观测的瑞雷波进行处理，分离出基阶振型信号，然后利用两台的基阶振型信 号进行反褶积得到台间格林函数，由格林函数计算得到台间周期为１３～１４２ ｓ的面 波衰减系数和群速度，所得结果也较为平稳。
Matching filtering is used to extract the phase of the fundamental-order surface mode, and then the time-varying filtering is used to correct the amplitude spectrum, so as to separate the fundamental-mode surface wave signal. The processing results of the synthetic surface wave theory seismogram show that this method can accurately separate the fundamental surface wave from the synthetic seismogram with higher order (the highest order is 5), and the fundamental surface wave synthesized with the same model Compared with the first-order surface wave, the amplitude spectrum of the first-order surface wave is very small. According to the long-period surface wave data recorded by China Digital Seismograph Network (CDSN), Beijing is located on the same arc with the source. The Rayleigh waves observed by Hailar station are processed to separate the fundamental order mode signals and then deconvolution using the two fundamental mode signals to obtain the station Green’s function. The station period is 13 ~ 142 s surface wave attenuation coefficient and group velocity, the results obtained are relatively stable.