Application of the Segmented Correlation Technology in Seismic Communication with Morse Code

• Main Authors: Yuanjie Jiang, Yuda Chen, Ruyun Tian, Longxu Wang, Shixue Lv, Jun Lin, Xuefeng Xing
• Format: Article
• Language: English
• Published: MDPI AG 2021-02-01
• Series: Applied Sciences
• Subjects: signal extraction; correlation; SNR; vibroseis sources; seismic communication
• Online Access: https://www.mdpi.com/2076-3417/11/4/1947

Seismic communication might promise to revolutionize the theory of seismic waves. However, one of the greatest challenges to its widespread adoption is the difficulty of signal extraction because the seismic waves in the vibration environments, such as seas, streets, city centers and subways, are very complex. Here, we employ segmented correlation technology with Morse code (SCTMC), which extracts the target signal by cutting the collected data into a series of segments and makes these segments cross-correlate with the decoded signal to process the collected data. To test the effectiveness of the technology, a seismic communication system composed of vibroseis sources and geophones was built in an environment full of other vibration signals. Most notably, it improves the signal-to-noise ratio (SNR), extending the relay distance and suppressing other vibration signals by using technology to deal with seismic data generated by the system.