A robust adaptive beamforming method applied in nested array is proposed.The interference-plus-noise covariance matrix is efficiently reconstructed.The true desired signal steering vector is precisely estimated.The corresponding beamformer weight vector can be computed with a low complexity....
In this study, the authors propose an algorithm called gradient-based manifold meta learning (GMML), aiming to solve the RIS-assisted multi-user multiple-input single-output (MU-MISO) beamforming problem. Research background and motivation Reconfigurable smart surfaces (RIS) have emerged as a ...
For instance, the Minimum Variance (MV) beamforming method in [15] computes channel weights while the Sign Coherence Factor (SCF) method in [16] finds pixel weights, to improve the resolution of the DAS image. [17] proposed another adaptive weighting factor technique, “Delay-And-Sum-to-...
Robust and Efficient Adaptive Beamforming Using Nested Subarray Principlesdoi:10.1109/ACCESS.2019.2963356Zhi ZhengTong YangDi JiangWen Qin Wang
On the other hand, the adaptive beamforming techniques can provide better performance subject to the availability of enough data for algorithm convergence [13]. However, adaptive beamformers are sensitive to array steering vector (ASV) errors and interference non-stationarity [13]. In many ...