Inicio  /  Applied Sciences  /  Vol: 11 Par: 4 (2021)  /  Artículo
ARTÍCULO
TITULO

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

Yuanjie Jiang    
Yuda Chen    
Ruyun Tian    
Longxu Wang    
Shixue Lv    
Jun Lin and Xuefeng Xing    

Resumen

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.

 Artículos similares

       
 
Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz and Raul Benitez    
In the field of medical imaging, the division of an image into meaningful structures using image segmentation is an essential step for pre-processing analysis. Many studies have been carried out to solve the general problem of the evaluation of image seg... ver más
Revista: Algorithms

 
Jean Pierre Tincopa, Rodrigo Salazar-Gamarra, Madaleine Lopez-Hinostroza, Belén Moya-Salazar, Hans Contreras-Pulache and Jeel Moya-Salazar    
The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the ... ver más

 
Francisco Martín, Fernando González, José Miguel Guerrero, Manuel Fernández and Jonatan Ginés    
The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents... ver más
Revista: Applied Sciences

 
Christian Wacker, Markus Köhler, Martin David, Franziska Aschersleben, Felix Gabriel, Jonas Hensel, Klaus Dilger and Klaus Dröder    
Wire arc additive manufacturing (WAAM) is a direct energy deposition (DED) process with high deposition rates, but deformation and distortion can occur due to the high energy input and resulting strains. Despite great efforts, the prediction of distortio... ver más
Revista: Applied Sciences

 
Malik Doole, Joost Ellerbroek, Victor L. Knoop and Jacco M. Hoekstra    
Large-scale adoption of drone-based delivery in urban areas promise societal benefits with respect to emissions and on-ground traffic congestion, as well as potential cost savings for drone-based logistic companies. However, for this to materialise, the ... ver más
Revista: Aerospace