Iterative robust adaptive beamforming
EURASIP Journal on Advances in Signal Processing, 2017 The minimum power distortionless response beamformer has a good interference rejection capability, but the desired signal will be suppressed if signal steering vector or data covariance matrix is not precise. The worst-case performance optimization-based
Yang Li, Hong Ma, Li Cheng
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Robust adaptive beamforming based on covariance matrix reconstruction with annular uncertainty set constraints. [PDF]
PLoS ONEA robust adaptive beamforming method based on the interference covariance matrix reconstruction with annular uncertainty set constraints is proposed to address the issues of covariance matrix mismatch and steering vector mismatch caused by the distortion
Gaoxiang Xing +3 more
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New convex approaches to general MVDR robust adaptive beamforming problems [PDF]
Electronics Letters, 2023 Consider general minimum variance distortionless response (MVDR) robust adaptive beamforming problems based on the optimal estimation for both the desired signal steering vector and the interference‐plus‐noise covariance (INC) matrix.
Yao Zhao +5 more
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Null Broadening Robust Adaptive Beamforming Algorithm Based on Power Estimation [PDF]
Sensors, 2022 In order to solve the problem of severely decreased performance under the situation of rapid moving sources and unstable array platforms, a null broadening robust adaptive beamforming algorithm based on power estimation is proposed in this paper.
Zhenhua Yu +4 more
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Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing [PDF]
International Journal of Antennas and Propagation, 2022 For robust adaptive beamforming (RAB), the variable loading (VL) technique can provide a better trade-off between robustness and adaptivity than diagonal loading (DL).
Xiangwei Chen, Weixing Sheng
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Neural Network-Based Robust Adaptive Beamforming [PDF]
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006 When adaptive arrays are applied to practical problems, the performances of the existing adaptive algorithms are known to degrade substantially in the presence of even slight mismatches between the actual and presumed array responses to the desired signal.
null Xin Song +3 more
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Robust Adaptive Beamforming Algorithm for Sparse Subarray Antenna Array Based on Hierarchical Weighting [PDF]
Micromachines, 2022 Sparse antenna arrays based on subarrays have more and more broad application prospects for the limitation of array space, real-time algorithm and hardware costs.
Jian Yang +3 more
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Adaptive beamforming algorithms with robustness against steering vector mismatch of signals
IET Radar, Sonar & Navigation, 2017 Three novel adaptive beamforming algorithms are developed to mitigate the steering vector (SV) random errors of both the desired signal and interferences.
Jiangbo Liu +5 more
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Robust adaptive beamforming with mainlobe maintenance of monopulse beams [PDF]
The Journal of Engineering, 2019 Adaptive monopulse approaches for angularly localising a main-beam target in jamming are usually based on variations of the concept of optimising the sum (Σ) beam via standard adaptation and then optimising the delta (Δ) beam subject to maintain the ...
Manuel F. Fernández, Kai-Bor Yu
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An Approximate Algorithm for Robust Adaptive Beamforming [PDF]
EURASIP Journal on Advances in Signal Processing, 2004 This paper presents an adaptive weight computation algorithm for a robust array antenna based on the sample matrix inversion technique. The adaptive array minimizes the mean output power under the constraint that the mean square deviation between the ...
Iiguni Youji, Yoshida Tomoaki
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