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VAE-ResNet Cascade Network: An Advanced Algorithm for Stochastic Clutter Suppression in Ground Penetrating Radar Data

IEEE Transactions on Geoscience and Remote Sensing
Ground penetrating radar (GPR) is a subsurface sensing technology extensively utilized in various applications. However, the inhomogeneous distribution of the subsurface medium results in a stochastic clutter and drastically degrades the precision of ...
Xiangyu Wang, Hai Liu
semanticscholar   +1 more source

HFSWR Clutter Suppression and Target Detection Method Based on RRN and Exponential Weight Control

IEEE Geoscience and Remote Sensing Letters
This letter presents a novel method for clutter suppression and target detection on the range-Doppler (RD) spectrum of a high-frequency surface wave radar (HFSWR). The approach replaces the traditional classification layer of the residual neural network (
Yuanzheng Ji   +4 more
semanticscholar   +1 more source

Range-Ambiguous Clutter Suppression for Space-Based Early Warning Radar via EPC–FDA–MIMO With Nonorthogonal Waveforms

IEEE Transactions on Aerospace and Electronic Systems
Space-based early warning radar faces significant challenges due to its extensive detection ranges and high operational speeds, leading to substantial range and Doppler ambiguities.
Zizhou Qiu   +3 more
semanticscholar   +1 more source

Range Ambiguous Clutter Suppression for Forward-Looking Airborne Radar Based on Frequency Coding and Phase Waveforms Modulation in Slow-Time

IEEE Transactions on Aerospace and Electronic Systems
Airborne radars tasked with detecting low-altitude or ground targets frequently face the challenge posed by ground and sea clutter interference, which can drastically reduce target detection capabilities.
Zizhou Qiu, Keqing Duan, Zhipeng Liao
semanticscholar   +1 more source

An Extensive Cancellation Algorithm via Overlapping Subband for Time-Varying Clutter Suppression in Passive Bistatic Radar

IEEE Transactions on Aerospace and Electronic Systems
For time-varying clutter suppression in passive bistatic radar (PBR) systems, some existing clutter suppression algorithms, belonging to the time-domain filter (TDF) or the frequency-domain filter (FDF), will suffer from performance degradation in the ...
Jinxin Sui   +3 more
semanticscholar   +1 more source

Doppler Separation-Based Clutter Suppression Method for Passive Radar on Moving Platforms

IEEE Transactions on Geoscience and Remote Sensing
For passive radar on moving platforms, the clutter suppression performance of the space–time adaptive processing (STAP) is degraded significantly. This article reveals the underlying reason that the high sidelobes of strong clutter raise the noise ...
Shibo Hu   +4 more
semanticscholar   +1 more source

Two-Stage Collaborative Sea Clutter Suppression Based on Subregion Gazing and Reconstruction

IEEE Geoscience and Remote Sensing Letters
Radar target detection is an important technical means for effective monitoring of sea surface targets. Under strong sea clutter, the echo characteristics of some targets with small radar cross sections (RCSs) may be submerged, affecting the performance ...
Jingang Wang, Ke Shi, Songbin Li
semanticscholar   +1 more source

Clutter Suppression for Radar via Deep Joint Sparse Recovery Network

IEEE Geoscience and Remote Sensing Letters
In radar detection, small and slow targets are easily overwhelmed by strong clutter. Traditional methods, such as singular value decomposition (SVD) and robust principal component analysis (RPCA), can suppress clutter and recover targets by using low ...
Shiyuan Zhang   +5 more
semanticscholar   +1 more source

An Attention U-Net-Based Improved Clutter Suppression in GPR Images

IEEE Transactions on Instrumentation and Measurement
The existence of strong background clutter often masks the desired target response, and thereby significantly affects the ground-penetrating radar (GPR) target detection.
Swarna Laxmi Panda   +3 more
semanticscholar   +1 more source

Robust STAP of Dictionary Local Adaptive Filling and Learning for Nonstationary Clutter Suppression

IEEE Transactions on Aerospace and Electronic Systems
With the vigorous development of sparse recovery (SR) theory, the research results are gradually applied in the field of space-time adaptive processing (STAP), aiming at reducing the dependence of the system on the number of training samples.
Qiang Guo   +5 more
semanticscholar   +1 more source

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