Three-dimensional acoustic source localization based on multipath time delay in deep ocean

To accurately characterize the non-radial motion of the source relative to the receiver, a three-dimensional (3D) model is essential. The extended Kalman filter (EKF) state matrix is employed to characterize the source's 3D motion. The measurement input for the EKF is the time delay between the direct and surface-reflected arrivals. The differences in the partial derivatives of the distance component have been identified and discussed. Through iterative filtering, a reliable estimate of the source's position in 3D space is obtained. Both simulations and experiments validate the effectiveness of the method, with experimental depth estimation errors within 1.5%.

Authors

Institutions

Publication Details

Journal
JASA Express Letters
Published
2025-10-01
DOI
https://doi.org/10.1121/10.0039398
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-dimensional acoustic source localization based on multipath time delay in deep ocean

Jinshan Fu, Haigang Zhang, Zhen Zhang
JASA Express Letters
Underwater Acoustics Research
article

Three-dimensional acoustic source localization based on multipath time delay in deep ocean

Jinshan Fu, Haigang Zhang, Zhen Zhang
article en

Abstract

To accurately characterize the non-radial motion of the source relative to the receiver, a three-dimensional (3D) model is essential. The extended Kalman filter (EKF) state matrix is employed to characterize the source's 3D motion. The measurement input for the EKF is the time delay between the direct and surface-reflected arrivals. The differences in the partial derivatives of the distance component have been identified and discussed. Through iterative filtering, a reliable estimate of the source's position in 3D space is obtained. Both simulations and experiments validate the effectiveness of the method, with experimental depth estimation errors within 1.5%.

JASA Express LettersVol. 5(10)
Harbin Engineering University (CN), Ministry of Industry and Information Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 72%
Underwater Acoustics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.