Cooperative localization for underwater vehicles

Lichuan Zhang, Mingyong Liu, Demin Xu, Weisheng Yan

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

11 Scopus citations

Abstract

In this paper, we propose a cooperative localization algorithm based on Extended Kalman Filter (EKF) for multiple underwater vehicles. Research on cooperative localization of multiple underwater vehicles is an important topic to solve the navigation problem in long range and deep sea. We investigate the improvement in navigation accuracy. In the cooperative localization structure, one master underwater vehicles is equipped with high precision navigation system as a node, and several slaver underwater vehicles are equipped with low precision navigation system. They all are equipped with acoustic device to measure relative location. An Extended Kalman Filter (EKF) is designed, which fuses the proprioceptive and exteroceptive sensors. The research results prove that the navigation accuracy has been improved effectively by using cooperative localization method based on EKF.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages2524-2527
Number of pages4
DOIs
StatePublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Autonomous underwater vehicles
  • Cooperative localization
  • Extended kalman filter
  • Navigation

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