Direction of arrival estimation under Class A modelled noise in shallow water using variational Bayesian inference method-Reference-Cited by-同舟云学术

Direction of arrival estimation under Class A modelled noise in shallow water using variational Bayesian inference method

Published:2022-05-19 Issue:9 Volume:16 Page:1503-1515
ISSN:1751-8784
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar Sonar & Navi

Author:

Feng Xiao¹²³,Zhang Xuebo¹⁴⁵^ORCID,Song Ruiping¹²³,Wang Junfeng⁶,Sun Haixin¹²³,Esmaiel Hamada¹²³⁷

Affiliation:

1. Key Laboratory of Southeast CoastMarine Information Intelligent perception and Application Ministry of Natural Resources Xiamen People’s Republic of China

2. Key Laboratory of UnderwaterAcoustic Communication and Marine Information Technology Ministry of Education Xiamen People’s Republic of China

3. School of Informatics Xiamen University Xiamen Fujian People’s Republic of China

4. Acoustic Signal & Electronics Science and Technology Corporation Lanzhou people’s Republic of China

5. Northwest Normal University Lanzhou People’s Republic of China

6. School of Integrated Circuit Science and Communications Tianjin University of Technology Tianjin People’s Republic of China

7. Electrical Engineering Department Faculty of Engineering Aswan University Aswan Egypt

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12276

Reference35 articles.

1. Hydrophone Array Optimization, Conception, and Validation for Localization of Acoustic Sources in Deep-Sea Mining

2. At-Sea Evaluation of an Underwater Vehicle Behavior for Passive Target Tracking

3. Efficient Use of Space-Time Clustering for Underwater Acoustic Communications

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