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Cooperative localization of an acoustic using towed hydrophone arrays

  • Aditya S. Gadre
  • , Darren K. Maczka
  • , Davide Spinello
  • , Brian R. McCarter
  • , Daniel J. Stilwell
  • , Wayne Neu
  • , Michael J. Roan
  • , John B. Hennage

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

Abstract

We describe field experiments in which a team of autonomous underwater vehicles cooperatively localize an acoustic source. The team implements a data fusion algorithm to enhance the localization performance of each individual vehicle and implements a decentralized motion control algorithm so that each vehicle maneuvers to minimize the joint localization error of the acoustic source. Each autonomous underwater vehicle is equipped with a custom-designed towed hydrophone array that measures the bearing angle between the array and the acoustic source. The noise statistics of the hydrophone arrays are state-dependent, and a generalized Kalman filter that accounts for the state-dependant measurement noise is utilized for localization.

Original languageEnglish (US)
Title of host publication2008 IEEE/OES Autonomous Underwater Vehicles, AUV 2008
DOIs
StatePublished - 2008
Event2008 IEEE/OES Autonomous Underwater Vehicles, AUV 2008 - Woods Hole, MA, United States
Duration: Oct 13 2008Oct 14 2008

Publication series

Name2008 IEEE/OES Autonomous Underwater Vehicles, AUV 2008

Conference

Conference2008 IEEE/OES Autonomous Underwater Vehicles, AUV 2008
Country/TerritoryUnited States
CityWoods Hole, MA
Period10/13/0810/14/08

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Electrical and Electronic Engineering

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