Underwater acoustic source localization strategy by a group of autonomous surface vehicles

M. H.A. Majid, M. R. Arshad

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

11 Citations (Scopus)

Abstract

Underwater acoustic source localization is important in many underwater applications. However, due to the intensity degradation of acoustic signal as the distance from the source increases, the possibility to detect and localize the source using a single surface platform become harder. This paper presents an underwater acoustic source localization strategy by a group of autonomous surface vehicles (ASVs). The proposed localization strategy consists of two phases known as target-search phase and target-drive phase. The target search phase is applied when none of the ASVs detect the acoustic signal while the target-drive phase take place only when at least one of the ASVs detect the acoustic signal. Simulation is performed to demonstrate the proposed localization strategy.

Original languageEnglish
Title of host publicationUSYS 2016 - 2016 IEEE 6th International Conference on Underwater System Technology
Subtitle of host publicationTheory and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages26-31
Number of pages6
ISBN (Electronic)9781509057986
DOIs
Publication statusPublished - 6 Apr 2017
Externally publishedYes
Event6th IEEE International Conference on Underwater System Technology: Theory and Applications, USYS 2016 - Pulau Pinang, Malaysia
Duration: 13 Dec 201614 Dec 2016

Publication series

NameUSYS 2016 - 2016 IEEE 6th International Conference on Underwater System Technology: Theory and Applications

Conference

Conference6th IEEE International Conference on Underwater System Technology: Theory and Applications, USYS 2016
Country/TerritoryMalaysia
CityPulau Pinang
Period13/12/1614/12/16

Keywords

  • autonomous surface vehicle
  • localization strategy
  • swarm robot
  • Underwater localization

Fingerprint

Dive into the research topics of 'Underwater acoustic source localization strategy by a group of autonomous surface vehicles'. Together they form a unique fingerprint.

Cite this