Mode Selection of Wideband Acoustic Signals Using Time-Frequency (Warping) Analysis for Single Hydrophone. Comparison with Array Filtering in Variable Medium

M. Yarina, B. Katsnelson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

broadband air-gun data from SWARM'95 experiment in shallow water area of Atlantic shelf are used to analyze mode filtering using time-frequency analysis in the form of Warping Transform. Sound fluctuations in the presence of nonlinear internal waves are considered using this analysis. Results are compared with mode filtering using vertical line array (VLA). It is shown that Warping Transform allows us to provide mode filtering in shallow water environment, changing in time and space in the presence of moving nonlinear internal waves by single hydrophone only. Temporal variations of mode composition in given case have properties specific for manifestation of horizontal refraction in the form of focusing/defocusing in horizontal plane.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695494
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019 - Tel-Aviv, Israel
Duration: 4 Nov 20196 Nov 2019

Publication series

Name2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019

Conference

Conference2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019
Country/TerritoryIsrael
CityTel-Aviv
Period4/11/196/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • mode filtering
  • time -frequency analysis
  • warping transform

ASJC Scopus subject areas

  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications

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