Underwater Acoustic Channel Estimation Based on Sparse Bayesian Learning Algorithm
Author:
Affiliation:
1. Naval Submarine Academy, Qingdao, China
2. Pilot National Laboratory for Marine Science and Technology, Qingdao, China
Funder
National Key Research and Development Plan
Qingdao National Laboratory of Marine Science and Technology
Innovation Plan of Qingdao Collaborative Innovation Institute
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10021577.pdf?arnumber=10021577
Reference29 articles.
1. Modulation Recognition of Underwater Acoustic Signals Using Deep Hybrid Neural Networks
2. Channel Estimation for Millimeter-Wave MIMO Communications With Lens Antenna Arrays
3. Deep learning based underwater acoustic OFDM communications
4. Deep Learning-Based Channel Estimation and Equalization Scheme for FBMC/OQAM Systems
5. Research on CS-based Channel Estimation Methods for UWB Communications
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