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Accurate Underwater Localization through Phase Difference

  • School of Information Science and Engineering, Harbin Institute of Technology Weihai
  • Guilin University of Electronic
  • Shandong New Beiyang Information Technology Co. Ltd.

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

Abstract

The ultra-short baseline (USBL) is an underwater localization method. It widely applied in the underwater localization system. However, as there are environmental interference and measurement error, the localization accuracy is poor, which can not meet the requirements. To order to enhance the localization accuracy, in this paper, an underwater accurate localization method exploring phase difference and Kalman filter is presented. In this method, we utilize a non-equidistant quaternary original array to receive acoustic signals from an underwater target. Then we explore the Kalman filtering algorithm to process the accurate acoustic signals and gain the phase difference. In the end, we get the localization result of the underwater target. Experimental results indicated the underwater localization method can improve the underwater localization performance.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages38-42
Number of pages5
ISBN (Electronic)9781728165141
DOIs
StatePublished - Aug 2020
Externally publishedYes
Event4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020 - Beijing, China
Duration: 14 Aug 202016 Aug 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020

Conference

Conference4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020
Country/TerritoryChina
CityBeijing
Period14/08/2016/08/20

Keywords

  • Kalman filters
  • Underwater localization
  • signal denoising

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