Making the most of field data to support underwater acoustic communications RD

Grant Deane, James Preisig, Andrew C. Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Field data is often expensive to collect, time-consuming to prepare to collect, and even more time-consuming to process after the experiment has concluded. However, it is often the practice that such data are used for the research activity that was concomitant with the experiment, and then for little else after the funded research activity is completed. This paper discusses useful steps that can be taken to 1) collect sufficient environmental statistics such that subsequent research can be accomplished long after the experiment has completed, and that results from a given experiment may be reasonably compared with those of another, and 2) prepare signals for transmission and subsequent recording such that research trades for different modulation and coding schemes may be undertaken post-experiment, without the need for retransmission of additional waveforms, and 3) creation of an sufficiently meaningful model and collection of sufficient data to enable post-experimental replay of the environment.

Original languageEnglish (US)
Title of host publication2018 4th Underwater Communications and Networking Conference, UComms 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538664421
DOIs
StatePublished - Oct 15 2018
Event4th Underwater Communications and Networking Conference, UComms 2018 - Lerici, Italy
Duration: Aug 28 2018Aug 30 2018

Publication series

Name2018 4th Underwater Communications and Networking Conference, UComms 2018

Other

Other4th Underwater Communications and Networking Conference, UComms 2018
CountryItaly
CityLerici
Period8/28/188/30/18

Keywords

  • Underwater acoustic communications
  • coding
  • environmental characterization
  • field experiments
  • modulation
  • post-experiment replay
  • simulations

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Ocean Engineering
  • Acoustics and Ultrasonics

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