Title

Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM

Journal title

Archives of Acoustics

Yearbook

2025

Volume

vol. 50

Issue

No 2

Authors

Zeng, Fanyu ; Han, Yaning ; Yang, Hongyuan ; Yang, Dapeng ; Zheng, Fan

Affiliation

Zeng, Fanyu : Key Laboratory of Geophysical Exploration Equipment, Ministry of Education,College of Instrumentation and Electrical Engineering, Jilin UniversityChangchun, China ; Han, Yaning : Key Laboratory of Geophysical Exploration Equipment, Ministry of Education,College of Instrumentation and Electrical Engineering, Jilin UniversityChangchun, China ; Yang, Hongyuan : Key Laboratory of Geophysical Exploration Equipment, Ministry of Education,College of Instrumentation and Electrical Engineering, Jilin UniversityChangchun, China ; Yang, Dapeng : Key Laboratory of Geophysical Exploration Equipment, Ministry of Education,College of Instrumentation and Electrical Engineering, Jilin UniversityChangchun, China ; Zheng, Fan : Key Laboratory of Geophysical Exploration Equipment, Ministry of Education,College of Instrumentation and Electrical Engineering, Jilin UniversityChangchun, China

Keywords

single vector hydrophone ; direction of arrival (DOA) ; convolutional neural network (CNN) ; convolutionalblock attention module (CBAM) ; noise resistance

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics

Date

5.05.2025

Type

Article

Identifier

DOI: 10.24425/aoa.2025.153659