Improvement of the Detection of Envelope Modulation on Noise (DEMON) and its application to small boats

Alexander Pollara, Alexander Sutin, Hady Salloum

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

28 Scopus citations

Abstract

The Detection of Envelope Modulation on Noise (DEMON) algorithm is popular for the identification of vessels from passive acoustic data. We suggest several improvements to the DEMON algorithm: First, an extension of the DEMON algorithm for determining time delay of arrival of an acoustic signal based on the phase delay of DEMON spectral components from two hydrophones. Then we show the DEMON spectra of a variety of small vessels measured in controlled conditions. Their various characteristics are discussed in the context of vessel classification from DEMON spectra. Finally, the dependence of the DEMON spectra on the passband of propeller noise were investigated using the Cyclic Modulation Spectrum, and optimum frequencies for demodulation were found.

Original languageEnglish
Title of host publicationOCEANS 2016 MTS/IEEE Monterey, OCE 2016
ISBN (Electronic)9781509015375
DOIs
StatePublished - 28 Nov 2016
Event2016 OCEANS MTS/IEEE Monterey, OCE 2016 - Monterey, United States
Duration: 19 Sep 201623 Sep 2016

Publication series

NameOCEANS 2016 MTS/IEEE Monterey, OCE 2016

Conference

Conference2016 OCEANS MTS/IEEE Monterey, OCE 2016
Country/TerritoryUnited States
CityMonterey
Period19/09/1623/09/16

Keywords

  • Cyclic Modulation Spectrum
  • DEMON
  • Passive Acoustics
  • Phase DEMON
  • Small Boat Noise
  • TDOA

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