Model-Driven Deep Learning Based Estimation for Underwater Acoustic Channels with Uncertain Sparsity-Reference-Cited by-同舟云学术

Model-Driven Deep Learning Based Estimation for Underwater Acoustic Channels with Uncertain Sparsity

Author:

Feng Xiao¹^ORCID,Zhou Mingzhang²,Wang Junfeng²^ORCID,Sun Haixin²^ORCID,Pan Gaofeng³,Wen Miaowen⁴^ORCID

Affiliation:

1. School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, Ministry of Natural Resources, China

3. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

4. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

Funder

Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, MNR

National Natural Science Foundation of China

Key Program of Marine Economy Development Special Foundation of Department of Natural Resources of Guangdong Province

Stable Supporting Fund of National Key Laboratory of Underwater Acoustic Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

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1. Study of Adaptive Nonlinear Signal Processing Structures for Underwater Acoustic Systems;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29