Geomagnetic Matching Aided Unmanned Surface Vehicle Cooperative Positioning Method

Hanzhang Shi, Chengkai Tang, Lingling Zhang, Zhe Yue, Yangyang Liu, Zesheng Dan

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

Abstract

Due to the complex maritime environment, satellite navigation is easily interfered by weather, radio, etc., and the error of inertial navigation will accumulate rapidly with the increase of sailing time, the existing cooperative positioning methods cannot meet the accuracy and stability of Unmanned Surface Vehicle (USV) clusters to realize rescue at sea. Aiming at the above problems, this paper proposes a Geomagnetic Matching Cooperative Positioning Method for Unmanned Surface Vehicle Based on Geometric Information (GMCP-GI) for USV clusters based on geometric information. Simulation results show that the proposed g GMCP-GI for USVs can realize the cooperative positioning of USV clusters and can effectively improve the positioning accuracy and stability.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350366556
DOIs
StatePublished - 2024
Event14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024 - Hybrid, Bali, Indonesia
Duration: 19 Aug 202422 Aug 2024

Publication series

Name2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024

Conference

Conference14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
Country/TerritoryIndonesia
CityHybrid, Bali
Period19/08/2422/08/24

Keywords

  • Cluster of Unmanned Surface Vehicle
  • Co-localization
  • Geomagnetic matching
  • Geomagnetic navigation

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