Underwater Long Baseline Localization based on Doppler Measurements for a Fast-Moving Underwater Vehicle

Yongqing Wu, Shefeng Yan, Xiaochuan Ma, Dongyu Yuan, Jilong Li

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

Abstract

Underwater navigation that relies solely on dead reckoning suffers from unbounded position error growth. In traditional positioning method based on TDOA, usual interference from multipath reflections and background noise leads to the choice of some fault correlation peaks under low SNR condition, especially in LBL. In the paper, the combination of LBL and Doppler shift estimation of an AUV will be expected to enable survey accuracy at any water depth where the position of an underwater acoustic transmitter equipped on the moving platform can be determined. And based on pattern time delay shift coding pulse, the positioning solution method about frequency estimation of Doppler shift in LBL could be described with Doppler effects from AUV moving. And a computation simulation, including three beacons in LBL, was performed to verify the performance of the proposed algorithm.

Original languageEnglish
Title of host publication2020 Global Oceans 2020
Subtitle of host publicationSingapore - U.S. Gulf Coast
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154466
DOIs
Publication statusPublished - 5 Oct 2020
Externally publishedYes
Event2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 - Biloxi, United States
Duration: 5 Oct 202030 Oct 2020

Publication series

Name2020 Global Oceans 2020: Singapore - U.S. Gulf Coast

Conference

Conference2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020
Country/TerritoryUnited States
CityBiloxi
Period5/10/2030/10/20

Keywords

  • Doppler shift
  • long base line
  • pattern time delay shift coding
  • underwater acoustic positioning

Fingerprint

Dive into the research topics of 'Underwater Long Baseline Localization based on Doppler Measurements for a Fast-Moving Underwater Vehicle'. Together they form a unique fingerprint.

Cite this