Results 1 to 10 of about 2,309,558 (245)

Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. [PDF]

Sensors (Basel), 2022
Chen J, Liu C, Xie J, An J, Huang N.
europepmc   +2 more sources

A New Underwater Acoustic Signal Denoising Technique Based on CEEMDAN, Mutual Information, Permutation Entropy, and Wavelet Threshold Denoising. [PDF]

Entropy (Basel), 2018
Li Y, Li Y, Chen X, Yu J, Yang H, Wang L.   +5 more
europepmc   +2 more sources

Robust Wideband DOA Estimation Based on Element-Space Data Reconstruction in a Multi-Source Environment

IEEE Access, 2021
In the presence of multiple sources, the performance of direction-of-arrival (DOA) estimation based on beam power maximization is susceptible to the energy leaking from the interference beams to the target beam, especially in the case that the signal of ...
Chuanqi Zhu, Shiliang Fang, Qisong Wu, Liang An, Xinwei Luo   +4 more
doaj   +1 more source

A Time-Frequency Joint Time-Delay Difference Estimation Method for Signal Enhancement in the Distorted towed Hydrophone Array

Remote Sensing, 2021
To acquire the enhanced underwater ship-radiated noise signal in the presence of array shape distortion in a passive sonar system, the phase difference of the line-spectrum component in ship-radiated noise is often exploited to estimate the time-delay ...
Chuanqi Zhu, Shiliang Fang, Qisong Wu, Liang An, Xinwei Luo, Hongli Cao   +5 more
doaj   +1 more source

An Enhanced Data-Driven Array Shape Estimation Method Using Passive Underwater Acoustic Data

Remote Sensing, 2021
Beamforming-based signal enhancement technologies in passive sonar array processing often have poor performance due to array distortion caused by rapid tactical maneuvers of the towed platform, oceanic currents, hydrodynamic effects, etc.
Qisong Wu, Hao Zhang, Zhichao Lai, Youhai Xu, Shuai Yao, Jun Tao   +5 more
doaj   +1 more source

An Underwater Acoustic Target Recognition Method Based on Spectrograms with Different Resolutions

Journal of Marine Science and Engineering, 2021
This paper focuses on the automatic target recognition (ATR) method based on ship-radiated noise and proposes an underwater acoustic target recognition (UATR) method based on ResNet.
Xinwei Luo, Minghong Zhang, Ting Liu, Ming Huang, Xiaogang Xu   +4 more
doaj   +1 more source

A Survey of Underwater Acoustic Target Recognition Methods Based on Machine Learning

Journal of Marine Science and Engineering, 2023
Underwater acoustic target recognition (UATR) technology has been implemented widely in the fields of marine biodiversity detection, marine search and rescue, and seabed mapping, providing an essential basis for human marine economic and military ...
Xinwei Luo, Lu Chen, Hanlu Zhou, Hongli Cao   +3 more
doaj   +1 more source

Robust Active Sonar Detection in Frequency and Time Dispersive Channels Using Matching Envelope Spectrum of Multi-Pulse LFM Signals

IEEE Access, 2020
For detecting the target echoes undergoing distortion in frequency and time dispersive channels, a novel robust active sonar detector is proposed.
Shuai Yao, Wenhui Yu, Shiliang Fang, Shuxia Huang   +3 more
doaj   +1 more source

Reweighted Robust Particle Filtering Approach for Target Tracking in Automotive Radar Application

Remote Sensing, 2022
In view of the decline of filtering accuracy caused by measured outliers in target tracking application, a novel reweighted robust particle filter is proposed to acquire accurate state estimates in an automotive radar system.
Qisong Wu, Lingjie Chen, Yanping Li, Zijun Wang, Shuai Yao, Hao Li   +5 more
doaj   +1 more source

An Underwater Acoustic Target Recognition Method Based on Combined Feature With Automatic Coding and Reconstruction

IEEE Access, 2021
Underwater acoustic target recognition is one of the main functions of the SONAR systems. In this paper, a target recognition method based on combined features with automatic coding and reconstruction is proposed to classify ship radiated noise signals ...
Xinwei Luo, Yulin Feng, Minghong Zhang
doaj   +1 more source