Interferometric Processing Methods for High-speed Train Seismic Data

In recent years, the use of green, stable, and sustainable high-speed train (HST) seismic signals for subsurface imaging has become a research focus. This study investigates the causes of crosstalk noise in HST seismic data interferometry and optimizes the data processing workflow to suppress crosstalk noise. The effectiveness of different interferometric methods is also compared. By applying interferometric processing to both simulated and real HST seismic data, we successfully extracted high-quality virtual source records and surface wave dispersion information. The results demonstrate that the proposed method significantly enhances the signal-to-noise ratio of interferometric records, providing a robust data processing foundation for the application of HST sources in high-precision subsurface imaging and inversion.