Azimuth Estimations From a Small Aperture Infrasonic Array: Test Observations at Stromboli Volcano, Italy

Kazuya Yamakawa, Mie Ichihara, Kyoka Ishii, Hiroshi Aoyama, Takeshi Nishimura, Maurizio Ripepe

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We tested the performance of an infrasonic array consisting of three microphones with a 20-m aperture at Stromboli volcano, Italy. There were four active vents separated by ∼10. We employed multiple signal classification (MUSIC) to estimate direction of arrival (DOA) of the detected signals. Using test signals of which the source vents were identified by visual observation, the resolution of DOA estimation of MUSIC is compared with those of Capon beamforming, grid search, and semblance. We confirmed that MUSIC and grid search gave better resolution of DOA than the other two methods. Also, MUSIC provided the best resolutions in time and frequency. It was shown that the DOA switched between different vents or fluctuated in short time scales and can vary with frequency, which indicate multiple active sources. Possible DOA estimation errors were evaluated. A small aperture infrasonic array combined with MUSIC will become a powerful tool for studying and monitoring active volcanoes.

Original languageEnglish
Pages (from-to)8931-8938
Number of pages8
JournalGeophysical Research Letters
Volume45
Issue number17
DOIs
Publication statusPublished - 2018 Sep 16

Keywords

  • MUSIC algorithm
  • array
  • infrasound
  • monitoring
  • small aperture
  • volcano

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Azimuth Estimations From a Small Aperture Infrasonic Array: Test Observations at Stromboli Volcano, Italy'. Together they form a unique fingerprint.

Cite this