Results 1 to 10 of about 22,571 (199)
A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors [PDF]
Sensors, 2021 In the presence of unknown array errors, sparse recovery based space-time adaptive processing (SR-STAP) methods usually directly use the ideal spatial steering vectors without array errors to construct the space-time dictionary; thus, the steering vector
Kun Liu +3 more
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Space-Time Adaptive Processing Based on Modified Sparse Learning via Iterative Minimization for Conformal Array Radar. [PDF]
Sensors (Basel), 2022 Space-time adaptive processing (STAP) is a well-known technique for slow-moving target detection in the clutter spreading environment. For an airborne conformal array radar, conventional STAP methods are unable to provide good performance in suppressing ...
Ren B, Wang T.
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A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar. [PDF]
Sensors (Basel), 2022 Space-time adaptive processing (STAP) is an effective technology in clutter suppression and moving target detection for airborne radar. Because airborne radar moves at a constant acceleration, and there is a lack of independent and identically ...
Zhang S, Wang T, Liu C, Wang D.
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A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar. [PDF]
Sensors (Basel), 2022 Space-time adaptive processing (STAP) plays an essential role in clutter suppression and moving target detection in airborne radar systems. The main difficulty is that independent and identically distributed (i.i.d) training samples may not be sufficient
Liu C, Wang T, Zhang S, Ren B.
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Social Science Research Network, 2020 Radar Systems are used for the detection of objects by transmitting electromagnetic waves in the free space. They operate in environments where there is a high possibility that the desired echo signal interferes with the signals from other sources. These
Chaitanya Vijaykumar Mahamuni
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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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A Joint Sparse Space-Time Adaptive Processing Method
IEEE AccessAt 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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Remote Sensing, 2022 Space-time adaptive processing (STAP) is a fundamental topic in airborne radar applications due to its clutter suppression ability. Reduced-dimension (RD)-STAP can release the requirement of the number of training samples and reduce the computational ...
Di Song +4 more
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IET Radar, Sonar & NavigationSea clutter suppression is a hot topic for airborne radar. Space‐time adaptive processing (STAP) is a useful approach to address this issue. Currently, range ambiguity is a problem to restrict conventional STAP performance.
Zhao Wang +4 more
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