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 …
An automatic threshold OMP algorithm based on QR decomposition for magnetic resonance image reconstruction
YY Ni, FY Wu, HZ Yang - Circuits, Systems, and Signal Processing, 2024 - Springer
In magnetic resonance (MR) image reconstruction, the orthogonal matching pursuit (OMP) is
widely recognized for its simplicity and competitive performance. However, OMP designs a …
widely recognized for its simplicity and competitive performance. However, OMP designs a …
Estimation of target motion parameters from the tonal signals with a single hydrophone
K Sun, D Gao, X Zhao, D Guo, W Song, Y Li - Sensors, 2023 - mdpi.com
In the shallow-water waveguide environment, the tonal signals radiated by moving targets
carry modal interference and Doppler shift information. The modal interference can be used …
carry modal interference and Doppler shift information. The modal interference can be used …
Hadamard–Viterbi joint soft decoding for MFSK underwater acoustic communications
Multiple Frequency-Shift Keying (MFSK) has been used widely for underwater acoustic
communications due to its low complexity and channel robustness. However, the traditional …
communications due to its low complexity and channel robustness. However, the traditional …
Channel Estimation for Underwater Acoustic Communications in Impulsive Noise Environments: A Sparse, Robust, and Efficient Alternating Direction Method of …
Channel estimation in Underwater Acoustic Communication (UAC) faces significant
challenges due to the non-Gaussian, impulsive noise in ocean environments and the …
challenges due to the non-Gaussian, impulsive noise in ocean environments and the …
Estimation of a moving broadband sound target motion velocity based on spectrum standard deviation
X Zhao, D Gao, X Li, W Song, Y Li, K Sun - Journal of Sound and Vibration, 2023 - Elsevier
Traditional Doppler velocity estimation method usually requires radiant noise in a high
energy line spectrum, which is often less effective for a target without an obvious line …
energy line spectrum, which is often less effective for a target without an obvious line …
A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature
L Du, Z Wang, Z Lv, D Han, L Wang, F Yu, Q Lan - Remote Sensing, 2024 - mdpi.com
With the aim of solving the problem of identifying complex underwater acoustic targets using
a single signal feature in the Time–Frequency (TF) feature, this paper designs a method that …
a single signal feature in the Time–Frequency (TF) feature, this paper designs a method that …
Enhanced target detection using a new cognitive sonar waveform design in shallow water
A cognitive waveform design is proposed for use in SONARs (Sound Operated Navigation
and Ranging) for detecting targets in undersurface environment. The study adopts a …
and Ranging) for detecting targets in undersurface environment. The study adopts a …
Radial velocity estimation method for a single hydrophone based on passive target line spectrum characteristics
Z Zhao, Q Li, Z Xia, Y Wang, D Shang - Applied Acoustics, 2025 - Elsevier
Passive radial velocity estimation based on a single hydrophone has a wide range of
applications in engineering, and can be used in small underwater platforms such as …
applications in engineering, and can be used in small underwater platforms such as …
Underwater Acoustic Channel Estimation via an Orthogonal Matching Pursuit Algorithm Based on the Modified Phase-Transform-Weighted Function
X Hu, L Zhang, D Wu, J Wang - Journal of Marine Science and …, 2023 - mdpi.com
In the context of torpedo guidance systems, the performance of active sonar in channel
parameter estimation and target detection and recognition is significantly degraded by the …
parameter estimation and target detection and recognition is significantly degraded by the …