Research on Distributed Compressed Sensing With Dynamic Block Sparsity for Underwater Acoustic Channel Estimation
Author:
Affiliation:
1. College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
2. Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USA
Funder
Fundamental Research Funds for the Central Universities
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10007705/09887792.pdf?arnumber=9887792
Reference46 articles.
1. A Navigation Solution Using a MEMS IMU, Model-Based Dead-Reckoning, and One-Way-Travel-Time Acoustic Range Measurements for Autonomous Underwater Vehicles
2. Sender-Receiver Role-Based Energy-Aware Scheduling for Internet of Underwater Things
3. Underwater acoustic sensor networks: research challenges
4. A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things
5. Sparse Underwater Acoustic Channel Estimation Based on Compressive Sensing
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