Deep learning for high‐resolution estimation of clutter angle‐Doppler spectrum in STAP
K Duan, H Chen, W **e, Y Wang - IET Radar, Sonar & …, 2022 - Wiley Online Library
Abstract Space‐time adaptive processing (STAP) methods can provide good clutter
suppression potential in airborne radar systems. However, the performance of these …
suppression potential in airborne radar systems. However, the performance of these …
Overview of frequency diverse array in radar ECCM applications
Necessities of newer radar systems are becoming even more demanding in modern
electronic warfare ECM (Electronic Countermeasures) scenarios; therefore, ECCM …
electronic warfare ECM (Electronic Countermeasures) scenarios; therefore, ECCM …
End-to-end moving target indication for airborne radar using deep learning
Y Gu, J Wu, Y Fang, L Zhang, Q Zhang - Remote Sensing, 2022 - mdpi.com
Moving target indication (MTI) based on space–time adaptive processing (STAP) has been
widely used in airborne radar due to its ability for clutter suppression performance. However …
widely used in airborne radar due to its ability for clutter suppression performance. However …
Subarray-based FDA radar to counteract deceptive ECM signals
In recent years, the frequency diverse array (FDA) radar concept has attracted extensive
attention, as it may benefit from a small frequency increment, compared to the carrier …
attention, as it may benefit from a small frequency increment, compared to the carrier …
Moving target indication using deep convolutional neural network
Z Liu, DKC Ho, X Xu, J Yang - IEEE Access, 2018 - ieeexplore.ieee.org
Existing moving target indication (MTI) methods are limited either by the sufficient and
homogeneous secondary data (SD) condition or by the high signal-to-clutter-ratio (SCR) …
homogeneous secondary data (SD) condition or by the high signal-to-clutter-ratio (SCR) …
Clutter suppression via subspace projection for spaceborne HRWS multichannel SAR system
Traditional clutter suppression methods are mainly studied under the condition that the
pulse repetition frequency (PRF) of the system is not less than the Nyquist frequency …
pulse repetition frequency (PRF) of the system is not less than the Nyquist frequency …
Outlier detection enhancement in heterogeneous environments through a novel training set selection framework
Y Gao, K Cui, D Orlando, C Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Most training set selection (TSS) methods are based on data processing methods. These
methods have improved the state-of-the-art in clutter suppression under heterogeneous …
methods have improved the state-of-the-art in clutter suppression under heterogeneous …
CNN-Based Moving Target Detection for Airborne Radar with Controllable False Alarm Module
Y Hou, Y Zhang, W Gui, M Wang… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
For airborne radar, it is an urgent task to detect moving targets in clutter background. At
present, automatic feature extraction is an effective way to improve the performance of …
present, automatic feature extraction is an effective way to improve the performance of …
Machine Learning-Aided Non-Homogeneity Detection Method for Airborne Radar
Z Wang, H Chen, S Xu, M Li - IEEE Transactions on Radar …, 2025 - ieeexplore.ieee.org
The weight vector in space-time adaptive processing (STAP) algorithm will lead to notches
at the position of the interfering targets when there are interfering targets in the training data …
at the position of the interfering targets when there are interfering targets in the training data …
An intelligent sample selection method for space-time adaptive processing in heterogeneous environment
C Duan, Y Li, WW Wang - IEEE Access, 2019 - ieeexplore.ieee.org
In the heterogeneous interference and target-rich environment, the clutter-plus-noise
covariance matrix (CCM) estimate with a good match for the cell under test is significant for …
covariance matrix (CCM) estimate with a good match for the cell under test is significant for …