To ensure link reliability and signal receiving quality, robust adaptive beamforming (RAB) is
vital important in mobile communications. In this paper, we propose a new RAB algorithm …

This paper presents cost-effective low-rank techniques for designing robust adaptive
beamforming (RAB) algorithms. The proposed algorithms are based on the exploitation of …

In this work, we propose a low-complexity robust adaptive beamforming (RAB) technique
which estimates the steering vector using a Low-Complexity Shrinkage-Based Mismatch …

In this paper, a novel subspace method is proposed to reconstruct the interference-plus-
noise covariance matrix (IPNCM) according to its definition, which can fundamentally …

Adaptive beamformer is very sensitive to model mismatch, especially when the signal-of-
interest is present in the training data. In this paper, we focus on the topic of robust adaptive …

Recently, the coprime array has aroused wide concern due to its capability of achieving
enhanced degrees of freedom (DOF) and increased array aperture compared to uniform …

The performance of the sample matrix inverse (SMI) beamformer degrades greatly when the
signal-to-noise ratio (SNR) increases because the signal of interest (SOI) is mistaken as …

A new approach to the design of robust adaptive beamforming is introduced. In the
proposed approach, the mismatch vector of the desired steering vector is estimated by …

The mismatches of signal and array geometry will seriously degrade the performance of
adaptive beamformer. In this paper, we propose two methods for robust adaptive …

We present low-complexity, quickly converging robust adaptive beamformers, for
beamforming large arrays in snapshot deficient scenarios. The proposed algorithms are …