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Application of the Segmented Correlation Technology in Seismic Communication with Morse Code
- Source :
- Applied Sciences, Vol 11, Iss 1947, p 1947 (2021), Applied Sciences, Volume 11, Issue 4
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- 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.
- Subjects :
- Seismic vibrator
010504 meteorology & atmospheric sciences
Computer science
Acoustics
Seismic communication
SNR
010502 geochemistry & geophysics
Morse code
lcsh:Technology
01 natural sciences
Signal
Seismic wave
Physics::Geophysics
law.invention
lcsh:Chemistry
Relay
law
General Materials Science
lcsh:QH301-705.5
Instrumentation
vibroseis sources
0105 earth and related environmental sciences
Fluid Flow and Transfer Processes
lcsh:T
Process Chemistry and Technology
General Engineering
Process (computing)
Geophone
signal extraction
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
correlation
lcsh:Engineering (General). Civil engineering (General)
seismic communication
lcsh:Physics
Subjects
Details
- ISSN :
- 20763417
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....9e2d93333cf1c61c8913a4076564358f