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Meta-Learning for Adaptive Sea Clutter Suppression: An Unsupervised Range-Doppler Domain Reconstruction Method

IEEE Transactions on Aerospace and Electronic Systems
With the increasing demand for surveilling low-observable targets, dim target detection in complex ocean environments remains a challenging issue. Sea clutter suppression can significantly enhance target detection performance. However, the complexity and
Zhenfang Zhao, Wenguang Wang
semanticscholar   +1 more source

Sea Clutter Suppression for Radar PPI Images Based on SCS-GAN

IEEE Geoscience and Remote Sensing Letters, 2021
The problem of strong sea clutter, e.g., sea spikes, may bring in low signal-to-clutter ratio (SCR) and cause great interference to radar marine target detection. However, the sea clutter suppression ability of current algorithms is limited with poor generalization under complex marine environment.
Xiaoqian Mou   +4 more
openaire   +1 more source

Robust Sea Clutter Suppression by C-ASJU Dictionary Learning and ECWT Denoised Algorithm

IEEE Sensors Journal
To address the challenge of detecting weak targets obscured by strong sea clutter and noise in complex maritime environments, this article presents a robust sea clutter suppression method.
Xinyu Zhao   +3 more
semanticscholar   +1 more source

Unsupervised-to-Supervised Sea Clutter Suppression via Adversarial Prior and Manifold Idempotent Theory

IEEE Sensors Journal
Marine radar is widely employed in ocean monitoring systems. However, the presence of sea clutter and noise significantly hampers the performance of the marine radar.
Ziqi Wang   +5 more
semanticscholar   +1 more source

Sea Clutter Suppression Based on USR-CycleGAN with Real Airborne Radar Data

IEEE International Geoscience and Remote Sensing Symposium
The complex marine environment leads to weak sea surface target echoes, and the clutter suppression effect of traditional radar signal processing methods is limited, which affects target detection.
Na Na   +4 more
semanticscholar   +1 more source

Enhancing Sea Clutter Suppression with Attention Weight Transfer LSTM Architecture

International Conference on Signal Processing Systems
Sea clutter suppression remains a critical challenge in maritime radar systems. While the short-term predictability of sea clutter enables suppression via time-series prediction, traditional linear model fails to address its nonlinear dynamics, and ...
Lu-Xi Zhang   +3 more
semanticscholar   +1 more source

Sea Clutter Suppression by Atomic Norm Minimisation in Frequency Diverse Array‐Space‐Time Adaptive Processing Radar Under Range Ambiguity

IET Radar, Sonar & Navigation
Sea clutter suppression is a hot topic for airborne radar. Space‐time adaptive processing (STAP) is a useful approach to address this issue. Currently, range ambiguity is a problem to restrict conventional STAP performance. The conventional STAP cannot
Zhao Wang   +4 more
semanticscholar   +1 more source

Ionospheric Decontamination and Sea Clutter Suppression for HF Skywave Radars

IEEE Journal of Oceanic Engineering, 2005
In this paper, a cascaded correction and suppression method of reducing ionospheric phase path contamination and sea clutter to enable detection of targets travelling at speeds near the Bragg Doppler is addressed. The Hankel rank reduction (HRR) technique based on singular value decomposition (SVD) has been used to estimate the ionospheric phase ...
K. Lu, X. Liu, Y. Liu
openaire   +1 more source

Sea Clutter Suppression in GEO SAR Imaging of Maneuvering Ships based on L-statistics

IEEE International Geoscience and Remote Sensing Symposium
The integration time of geosynchronous synthetic aperture radar (GEO SAR) is much longer than that of low Earth orbit SAR (LEO SAR), and the non-cooperative motion of ships leads to imaging defocusing.
Jindong Yu, Ze Yu, Mugen Peng
semanticscholar   +1 more source

Sea Clutter Suppression Method Based on a Self-Attention Spatio-Temporal Prediction Network

IEEE Transactions on Aerospace and Electronic Systems
The prediction and suppression of sea clutter have long been challenging issues in the field of maritime target detection. Traditional sea clutter prediction algorithms often struggle to effectively model complex sea clutter data.
G. Li   +3 more
semanticscholar   +1 more source

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