Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar
Leida xuebao, 2022 The clutter of space-based early warning radar exhibits tight coupling in the azimuth-elevation-Doppler domain due to the high speed of satellites and the Earth’s rotation.
Keqing DUAN +4 more
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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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A Subspace Method for MIMO Radar Space-Time Adaptive Processing [PDF]
, 2007 In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam.
Chen, Chun-Yang, Vaidyanathan, P. P.
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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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Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm [PDF]
, 2010 In this paper, we propose a reduced-rank space-time adaptive processing (STAP) technique for airborne phased array radar applications. The proposed STAP method performs dimensionality reduction by using a reduced-rank switched joint interpolation ...
de Lamare, R.C., Fa, R., Wang, L.
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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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Fast estimation of false alarm probabilities of STAP detectors - the AMF [PDF]
, 2005 This paper describes an attempt to harness the power of adaptive importance sampling techniques for estimating false alarm probabilities of detectors that use space-time adaptive processing.
Rangaswamy, Muralidhar +1 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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