Motion parameters estimation of an underwater multitonal source by using field oscillation at different frequencies in deep water

Zhezhen Xu, Hui Li, Kunde Yang, Peilin Li

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

1 Scopus citations

Abstract

This paper presents a motion parameter estimation algorithm for an underwater multitonal source in deep water. The acoustic field oscillation at different frequency points, caused by the interference between the direct and surface-reflected paths, are utilized to estimate the source initial range, velocity, and depth. The proposed algorithm first estimates the source initial range and velocity by matching the field time series at a reference frequency with the resampled ones at other frequencies. Then, based on the estimated initial range and velocity, the pressure fields in the time domain can be mapped into the sine domain of the receiving angle so that the source depth can be directly obtained by using a modified Fourier transform method on the basis of image theory. The effectiveness of the proposed algorithm is demonstrated via numerical simulations by using the Bellhop acoustic toolbox.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665469722
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, China
Duration: 25 Oct 202227 Oct 2022

Publication series

Name2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

Conference

Conference2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Country/TerritoryChina
CityXi'an
Period25/10/2227/10/22

Keywords

  • deep water
  • image theory
  • motion parameters estimation
  • multipath interference

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