Robust adaptive beamforming algorithm
Tongxin xuebao, 2009 The performance of least mean squares（LMS） algorithm degraded dramatically in the presence of even slight steering vector mismatches.In order to overcome the shortage,a novel robust adaptive beamforming algorithm based on the variable diagonal loading ...
SONG Xin +3 more
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Distributionally Robust Adaptive Beamforming [PDF]
IEEE Transactions on Signal ProcessingAs a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest (SoI) while mitigating interference plus noise (IPN). When uncertainties exist in the signal model or the data size of snapshots is limited, the performance of beamformers significantly degrades.
Shixiong Wang, Wei Dai, Geoffrey Ye Li
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Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing [PDF]
IEEE Access, 2019 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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Robust Quaternion-valued Wideband Adaptive Beamforming
Leida xuebao, 2019 A robust quaternion-valued wideband adaptive beamformer is proposed, in which a quaternion is utilized to arrange the output of the array element. By exploiting the augmented envelope alignment technique, adopting the three involutions of quaternion, and
DUAN Xiaofei, LIU Zhiwen, XU Yougen
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Robust and Efficient Adaptive Beamforming Using Nested Subarray Principles
IEEE Access, 2020 In this paper, we propose an adaptive beamforming algorithm for large uniform linear arrays (ULAs), where only a nested subarray is utilized to calculate the beamforming coefficients for the original ULA.
Zhi Zheng +3 more
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Fast and robust adaptive beamforming method based on complex-valued RBF neural network
The Journal of Engineering, 2019 The adaptive beamforming is one of the key techniques for array signal processing. However, the matrix inversion operation in the existing methods will cost a large amount of computational complexity, which results in poor real-time processing ability ...
Yuqing Li, Xiaopeng Yang, Feifeng Liu
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Robust Adaptive Beamforming with Optimal Covariance Matrix Estimation in the Presence of Gain-Phase Errors. [PDF]
Sensors (Basel), 2020 Yao D, Zhang X, Hu B, Yang Q, Wu X.
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Robust adaptive beamforming using variable loading
Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006., 2006 It is well known that the performance of adaptive beamformers may degrade in the presence of steering errors or lack of training data. Diagonal loading of the sample covariance matrix is a popular technique applied to the minimum variance/minimum power distortionless response beamformer to increase robustness of the array system.
null Jing Gu, P.J. Wolfe
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Low-Complexity Robust Adaptive Beamforming Based on INCM Reconstruction via Subspace Projection. [PDF]
Sensors (Basel), 2021 Duan Y, Yu X, Mei L, Cao W.
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Deep unfolding model‐based for hybrid robust wide band adaptive beamforming [PDF]
IET Microwaves, Antennas & PropagationThe design of arrays capable of receiving wideband signals differs from arrays that can only receive narrowband signals. These arrays must be able to receive signals with an instant bandwidth of several GHz across the entire operating frequency, such as ...
Reza Janani, Reza Fatemi Mofrad
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