Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments
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
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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A Space-Time Adaptive Processing Method Based on Sparse Reconstruction of Reverberation Interference
Aiming at the problem of how to obtain reverberation samples and estimate their covariance matrix in the space-time adaptive processing(STAP) of sonar system, a new space-time adaptive processing method is proposed based on sparse reconstruction of ...
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Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing
The power of Beidou satellite signals is very low, so it is vulnerable to interfering sources and in the presence of jamming. Therefore, a robust constrained inverse beamforming algorithm based on space-time adaptive processing is proposed, which can not
Yanping Liao +3 more
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IMPROVE THE SAFETY OF AIR TRANSPORT, ESPECIALLY IN MILITARIZED TERRAIN, BY USE OF SIDE LOOKING AIRBORNE RADAR AND SPACE TIME ADAPTIVE PROCESSING [PDF]
The paper explores the potential to enhance aviation safety, particularly in militarized regions, by outfitting aircraft with Side Looking Airborne Radar (SLAR) and employing space-time adaptive processing (STAP) algorithms.
Błażej ŚLESICKI +2 more
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Subband Array Implementations for Space-Time Adaptive Processing
Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment in mobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in ...
Yang Kehu, Zhang Yimin, Amin Moeness G
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Three-dimensional sparse recovery space-time adaptive processing for airborne radar
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to the ...
Keqing Duan +4 more
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Fast Tensor-based Three-dimensional Sparse Bayesian Learning Space-Time Adaptive Processing Method
When airborne radar is applied to the non-side-looking mode, moving target detection performance considerably degrades because of the nonstationary clutter.
Ning CUI +3 more
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A Joint Sparse Space-Time Adaptive Processing Method
At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered ...
Jinfeng Hu +4 more
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A Space-time Adaptive Processing Algorithm Based on Joint Sparse Recovery
Sparse recovery Space-Time Adaptive Processing (STAP) methods for obtaining the clutter spectrum require few training samples and can effectively suppress clutter in nonhomogeneous clutter environments.
Duan Ke-qing +4 more
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