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Quantitative identification of causes of instrumental acoustic signal distortion in Global Navigation Satellite System-Acoustics Combination observations.
Yoshizumi, Yuto; Yokota, Yusuke; Ishikawa, Tadashi; Nagae, Koya; Watanabe, Shun-Ichi; Nakamura, Yuto; Kouno, Kenji.
Affiliation
  • Yoshizumi Y; Institute of Industrial Science, University of Tokyo, Tokyo 1538505, Japan.
  • Yokota Y; Graduate School of Frontier Sciences, University of Tokyo, Chiba 2778561, Japan.
  • Ishikawa T; Institute of Industrial Science, University of Tokyo, Tokyo 1538505, Japan.
  • Nagae K; Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 1008932, Japan.
  • Watanabe SI; Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 1008932, Japan.
  • Nakamura Y; Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 1008932, Japan.
  • Kouno K; Hydrographic and Oceanographic Department, Japan Coast Guard, Tokyo 1008932, Japan.
J Acoust Soc Am ; 155(4): 2786-2793, 2024 Apr 01.
Article de En | MEDLINE | ID: mdl-38662606
ABSTRACT
The Seafloor Geodetic Observation-Array (SGO-A), operated by the Japan Coast Guard, relies on the Global Navigation Satellite System-Acoustics combination (GNSS-A) technique, which integrates satellite positioning systems and undersea acoustic ranging to determine seafloor crustal deformation at the centimeter level for earthquake disaster prevention. Recently, we found distortion in the SGO-A 10-kHz carrier wave that degraded the accuracy. Carrier wave distortion can cause errors on the scale of several centimeters to twenty centimeters, which greatly impedes centimeter-level observations. This study investigated this carrier wave degradation by an underwater acoustic communication experiment conducted in 2022, using a transducer similar to that used by SGO-A. Also, we reproduced degraded waveforms through a grid search-like method for quantitatively evaluating the extent to which the interior of the equipment contributed to deterioration. Our results underscore the importance of careful consideration in signal processing, as the observed waveform degradation is not solely attributed to hardware structures but also to internal electrical circuits. The findings suggest that conventional signal identification methods may lead to errors, providing motivation for a shift towards experimental and experiential timing-based waveform identification approaches to enhance accuracy in GNSS-A systems.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Acoust Soc Am Année: 2024 Type de document: Article Pays d'affiliation: Japon

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Acoust Soc Am Année: 2024 Type de document: Article Pays d'affiliation: Japon
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