IET Radar, Sonar & Navigation, 2022 Space‐time adaptive processing with finite samples is supposed to be a crucial technique for airborne radar systems. Inspired by the application of Gaussian prior in sparse Bayesian learning algorithm and the adaptive least absolute shrinkage and ...
Degen Wang, Tong Wang, Weichen Cui
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Space-Time Cascaded Processing-Based Adaptive Transient Interference Mitigation for Compact HFSWR
Remote Sensing, 2023 In high-frequency (HF) radar systems, transient interference is a common phenomenon that dramatically degrades the performance of target detection and remote sensing.
Di Yao, Qiushi Chen, Qiyan Tian
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Space-Time Adaptive Processing by Employing Structure-Aware Two-Level Block Sparsity
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Traditional radar space-time adaptive processing (STAP) cannot efficiently suppress heterogeneous clutter because of a small number of independent and identically distributed training snapshots.
Zhizhuo Jiang +4 more
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Dimension-reduced bi-iterative space–time adaptive processing method for airborne radar
The Journal of Engineering, 2019 A novel bi-iterative dimension-reduced space–time adaptive processing (STAP) algorithm for clutter suppression and moving target detection in airborne radar system is proposed.
Yuxiang Wang, Xiaoming Li, Wei Gao
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Deep learning for high‐resolution estimation of clutter angle‐Doppler spectrum in STAP
IET Radar, Sonar & Navigation, 2022 Space‐time adaptive processing (STAP) methods can provide good clutter suppression potential in airborne radar systems. However, the performance of these methods is limited by the training samples' support in practical applications. To address this issue,
Keqing Duan +3 more
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An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior
Remote Sensing, 2022 Space-time adaptive processing (STAP) encounters severe performance degradation with insufficient training samples in inhomogeneous environments. Sparse Bayesian learning (SBL) algorithms have attracted extensive attention because of their robust and ...
Weichen Cui +3 more
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ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods
IEEE Access, 2020 In this paper, we consider the problems of off-grid effects elimination and fast implementations for sparse recovery based space-time adaptive processing (SR-STAP) methods.
Zhongyue Li, Tong Wang
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Adaptive Differential Space-Time-Spreading-Assisted Turbo-Detected Sphere Packing Modulation [PDF]
, 2007 In this contribution a novel adaptive differential space-time spreading assisted turbo detected sphere packingmodulation scheme is proposed for improving the achievable throughput of code division multiple access (CDMA) systems.
El-Hajjar, M +5 more
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Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments
Remote Sensing, 2023 In the coherent signal environments caused by multipath propagation, the interference suppression performance of the global navigation satellite systems (GNSS) receivers decreases sharply.
Zhen Meng, Feng Shen
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Training sample selection for space–time adaptive processing based on multi-frames
The Journal of Engineering, 2019 As training samples are not identically distributed with cell under test (CUT) in heterogeneous environments, the performance of space–time adaptive processing (STAP) to suppress clutter degrades. To improve the performance of STAP, this study proposes a
Chenxiao Zhang +3 more
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