A fast threshold OMP based on self-learning dictionary for propeller signal reconstruction
YC Song, FY Wu, YY Ni, K Yang - Ocean Engineering, 2023 - Elsevier
The acquisition of propeller signals can be applied to localization and fault diagnosis, etc.
However, recording a large amount of propeller signals results in higher costs. Compressive …
However, recording a large amount of propeller signals results in higher costs. Compressive …
Exploiting rapidly time-varying sparsity for underwater acoustic communication
W Jiang, F Tong, Z Zhu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Due to the combined effects of different acoustic propagation, reflection patterns in different
time-scale, time-varying underwater acoustic (UWA) channel generally exhibits hybrid …
time-scale, time-varying underwater acoustic (UWA) channel generally exhibits hybrid …
A low-complexity underwater acoustic coherent communication system for small AUV
W Jiang, X Yang, F Tong, Y Yang, T Zhou - Remote Sensing, 2022 - mdpi.com
While underwater acoustic (UWA) communication offers a practical way to establish a
wireless link with underwater vehicles, designing a UWA communication system onboard a …
wireless link with underwater vehicles, designing a UWA communication system onboard a …
Long-range underwater acoustic channel estimation
Long-range underwater acoustic communication (LR-UWAC) is an essential technique for
applications such as the control of unmanned underwater vehicles, gliders, or tactical …
applications such as the control of unmanned underwater vehicles, gliders, or tactical …
Research on distributed compressed sensing with dynamic block sparsity for underwater acoustic channel estimation
Y Zhou, D Chen, F Tong, A Song - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Channel estimation plays a crucial role in Internet of Underwater Things networks.
Traditional channel estimation algorithms have limited performance improvement under the …
Traditional channel estimation algorithms have limited performance improvement under the …
Underwater sensor networks for smart disaster management
Internet of underwater things (IoUT) will empower underwater humanitarian applications.
IoUT will have the ability to sense locations in the underwater environment, process the data …
IoUT will have the ability to sense locations in the underwater environment, process the data …
Sparse recovery under nonnegativity and sum-to-one constraints
Sparse recovery under nonnegativity and sum-to-one constraints is a special form of the
linear regression problem, where the solution is required to simultaneously satisfy sparsity …
linear regression problem, where the solution is required to simultaneously satisfy sparsity …
Exploiting sparsity for underwater acoustic sensor network under time-varying channels
W Jiang, F Tong - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
As a time-frequency doubly selective channel, severe multipath, Doppler, as well as the
large time-delay characteristics of the underwater acoustic (UWA) channel pose significant …
large time-delay characteristics of the underwater acoustic (UWA) channel pose significant …
[PDF][PDF] Towards energy efficient routing in blockchain based underwater WSNs via recovering the void holes
I Hafiz Abdul Mateen (Registration No. CIIT/FA17-RCS-009/ISB) hereby declare that I have
produced the work presented in this thesis during the scheduled period of study. I also …
produced the work presented in this thesis during the scheduled period of study. I also …
Direction of Arrival Estimation of Acoustic Sources with Unmanned Underwater Vehicle Swarm via Matrix Completion
L Xu, J Huang, H Zhang, B Liao - Remote Sensing, 2022 - mdpi.com
With the rapid development of vibration and noise reduction technologies, underwater target
detection is facing great challenges. Particularly, the task of high-resolution direction of …
detection is facing great challenges. Particularly, the task of high-resolution direction of …