An optimal measure choosing strategy to AUVs cooperative localization

Yao Yao, De Min Xu, Wei Sheng Yan, Hui Ping Li

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

10 Scopus citations

Abstract

Cooperative Localization (CL) is a crucial loop in navigation with multiple Autonomous Underwater Vehicles (AUVs). Measuring and communicating are essential for CL to improve the position performance, which two are still difficult challenges until now, due to the terrible underwater environment. To make the furthest use of the measurements, in this paper, an Optimal Measure Choosing Strategy (OMCS) is proposed based on the value function established in this paper. The object is that minimizing the measurement and communication of AUVs to reduce the consumption arising from the cooperative course, meanwhile, without loss of performance. Then, in order to weight the different importance relative to different costs, the importance factors are imposed into the consumption function to improve the OMCS. Finally, experimental simulations illustrate the advantages of the proposed algorithm.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages1889-1894
Number of pages6
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 (AUVs)
  • Cooperative localization (CL)
  • Measure choosing strategy
  • Minimum entropy
  • Optimal function

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