MIMO radar space–time adaptive processing using prolate spheroidal wave functions [PDF]
, 2008 In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multiple-output (MIMO) radar system, the transmitter sends noncoherent (possibly ...
Chun-yang Chen +2 more
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Frequency Diverse Array SAR With Fast-Time Space-Time Adaptive Processing for Subsurface Imaging
IEEE Access, 2023 Different from the ground penetration radar providing only one-dimensional image, synthetic aperture radar (SAR) can produce two-dimensional and even three-dimensional image, which is meaningful in subsurface imaging, but possible layover effects may be ...
Wen-Qin Wang
doaj +1 more source
Learning-based space-time adaptive processing [PDF]
2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2013 Space-time adaptive processing (STAP) has been used for many years in moving target indicator (MTI) radars to solve the problem of target detection in presence of an interfering environment. Over the years, different versions of STAP have been introduced to enhance its performance and overcome its practical difficulties.
Alaa El Khatib +2 more
openaire +1 more source
Sensors, 2020 Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR).
Liang Guo +5 more
doaj +1 more source
Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018 Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost.
Xiaoye Wang +4 more
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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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Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
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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
doaj +1 more source
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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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
doaj +1 more source