Joint model-order and robust doa estimation for underwater sensor arrays
The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target
bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based …
bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based …
An automatic search and energy-saving continuous tracking algorithm for underwater targets based on prediction and neural network
H Liu, B Xu, B Liu - Journal of Marine Science and Engineering, 2022 - mdpi.com
Underwater target search and tracking has become a technical hotspot in underwater
sensor networks (UWSNs). Unfortunately, the complex and changeable marine environment …
sensor networks (UWSNs). Unfortunately, the complex and changeable marine environment …
Symmetric connectivity of underwater acoustic sensor networks based on multi-modal directional transducer
G Qiao, Q Liu, S Liu, B Muhammad, M Wen - Sensors, 2021 - mdpi.com
Topology control is one of the most essential technologies in wireless sensor networks
(WSNs); it constructs networks with certain characteristics through the usage of some …
(WSNs); it constructs networks with certain characteristics through the usage of some …
Small size array underwater acoustic doa estimation based on direction-dependent transmission response
J Li, F Tong, Y Zhou, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It has been recognized that the performance of the traditional direction of arrival (DOA)
estimation algorithms is highly dependent on array geometry parameters, especially the …
estimation algorithms is highly dependent on array geometry parameters, especially the …
Direction-of-arrival estimation method based on neural network with temporal structure for underwater acoustic vector sensor array
Y Xie, B Wang - Sensors, 2023 - mdpi.com
Acoustic vector sensor (AVS) is a kind of sensor widely used in underwater detection.
Traditional methods use the covariance matrix of the received signal to estimate the …
Traditional methods use the covariance matrix of the received signal to estimate the …
A full-duplex directional MAC framework for underwater acoustic sensor networks
Underwater acoustic communication plays an essential role in underwater wireless
information exchange, and nodes with such an ability constitute an underwater acoustic …
information exchange, and nodes with such an ability constitute an underwater acoustic …
Direction-of-arrival estimation based on sparse representation of fourth-order cumulants
C Xing, S Dong, Z Wan - IEEE Access, 2023 - ieeexplore.ieee.org
The actual underwater environmental noise is often spatial colored, which results in severe
degradation of the performance of the underwater direction of arrival (DOA) estimation …
degradation of the performance of the underwater direction of arrival (DOA) estimation …
A Sparse Bayesian Learning Method for Direction of Arrival Estimation in Underwater Maneuvering Platform Noise
Y Wang, L Zhao, L Qiu, J Wang, C Li - Journal of Marine Science and …, 2023 - mdpi.com
The underwater maneuvering platform generates self-noise when sailing, which shows
spatial directionality to the arrays fixed on the platform. In this paper, it is called spatially …
spatial directionality to the arrays fixed on the platform. In this paper, it is called spatially …
Source depth estimation based on the higher‐order sound field in the deep ocean
D Sun, Z Wang, J Shi, M Liang… - IET Radar, Sonar & …, 2024 - Wiley Online Library
Lloyd's mirror effect is a spatial interference phenomenon that results from the coherent
combination of direct and surface‐reflected propagation paths. The higher‐order vertical …
combination of direct and surface‐reflected propagation paths. The higher‐order vertical …
Sparse Bayesian Learning Underwater Source Localization Method Based on Matched Beam
Q Li, X Han, G Zhu, Z Wei - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent years, compressed sensing algorithms have received great attention in underwater
passive source localization, but the classic sparse Bayesian learning localization method …
passive source localization, but the classic sparse Bayesian learning localization method …