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A Cooperative Localization Algorithm Based on Time Delay Square Root Cubature Kalman Filter for USVs

  • Mingye Tong
  • , Ya Zhang
  • , Qingxin Wang
  • , Jianbo Shao
  • Harbin Institute of Technology

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

Abstract

Aiming at the difficulty and high cost of positioning multiple unmanned surface vessels (USVs), this paper designs a multiple USVs cooperative localization algorithm based on delay square root cubature Kalman filtering. In order to compensate the positioning error caused by the communication delay in the process of cooperative localization, a new filtering method with communication delay is proposed. The measurements are predicted in advance to compensate the state estimation error. The simulation results show that this method can effectively compensate for the positioning error caused by communication delay, and provide a reference for the practice of USVs collaborative positioning engineering.

Original languageEnglish
Title of host publicationINERTIAL 2022 - 2022 9th IEEE International Symposium on Inertial Sensors and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665402828
DOIs
StatePublished - 2022
Externally publishedYes
Event9th IEEE International Symposium on Inertial Sensors and Systems, INERTIAL 2022 - Avignon, France
Duration: 8 May 202211 May 2022

Publication series

NameINERTIAL 2022 - 2022 9th IEEE International Symposium on Inertial Sensors and Systems, Proceedings

Conference

Conference9th IEEE International Symposium on Inertial Sensors and Systems, INERTIAL 2022
Country/TerritoryFrance
CityAvignon
Period8/05/2211/05/22

Keywords

  • SCKF
  • USVs
  • communication delay
  • cooperation loca-lization
  • observability analysis

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