About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II

Research Article

Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28867-8_4,
        author={Haochen Zhang and Chen Xian},
        title={Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2023},
        month={3},
        keywords={Time-Varying narrowband filtering Vibroseis Seismic phase signal Extraction method Sinusoidal signal Harmonic interference noise},
        doi={10.1007/978-3-031-28867-8_4}
    }
    
  • Haochen Zhang
    Chen Xian
    Year: 2023
    Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-031-28867-8_4
Haochen Zhang1,*, Chen Xian1
  • 1: Shaanxi Institute of Technology
*Contact email: ttbm21@163.com

Abstract

When the phase travel time value increases continuously, the accuracy of the vibroseis phase signal extraction method will be disturbed. Aiming at this problem, a time-varying narrow-band filtering based vibroseis phase signal extraction method is designed. Calculate the linear sine signal expression formula, build a vibroseis simulation model, in the entire relevant time domain, the scanning signal satisfies the set frequency bandwidth, extract the characteristics of the noise generation mechanism, use the time-varying narrowband filter to scan the global seismic phase, and near-field data As a reference model, set the seismic phase signal extraction mode. Experimental results: The average extraction accuracy of the vibroseis phase signal extraction method in this paper and the other two vibroseis phase signal extraction methods are: 76.798%, 66.359%, and 66.694%, respectively, indicating that the band becomes narrower when fully combined. After filtering technology, the accuracy of the designed vibroseis phase signal extraction method has been improved.

Keywords
Time-Varying narrowband filtering Vibroseis Seismic phase signal Extraction method Sinusoidal signal Harmonic interference noise
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28867-8_4
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL