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 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 …

In this letter, a novel robust adaptive beamforming (RAB) technique is proposed. It offers
robust performance even with large look direction error in the array steering vector (ASV) …

Frequency diverse array (FDA)-multiple-input multiple-output (MIMO) radars can generate a
range-angle two-dimensional transmit steering vector (SV), which is capable of suppressing …

Recently, a number of robust adaptive beamforming (RAB) methods based on Capon power
spectrum estimator integrated over a specific region for covariance matrix reconstruction …

This study proposes low‐complexity robust adaptive beamforming (RAB) techniques based
on shrinkage methods. The authors first review a low‐complexity shrinkage‐based …

A novel robust adaptive beamforming algorithm based on a coprime array is proposed in
this study. First, the authors exploit the virtual array structure of the coprime coarray to …

Considering that the performance of adaptive arrays is sensitive to any type of mismatches,
an innovative robust adaptive beamforming method based on covariance matrix …

A simple and effective adaptive beamforming technique is proposed for uniform linear
arrays, which are based on projection processing for covariance matrix construction and …