We propose a reduced-rank beamformer based on the rank-D Joint Iterative Optimization
(JIO) of the modified Widely Linear Constrained Minimum Variance (WLCMV) problem for …

In this paper, the sensitivity of massive antenna arrays and digital beamforming to radio
frequency (RF) chain in-phase quadrature-phase (I/Q) imbalance is studied and analyzed …

We propose a blind adaptive reduced-rank widely linear beamforming algorithm using the
generalized sidelobe canceller structure for interference suppression. A structured Krylov …

In this study, a novel blind adaptive algorithm with discrete periodic variables is introduced.
The proposed discrete periodic variable algorithm (DPVA) has been applied to the new …

This paper presents a widely-linear (WL) distributed beamforming algorithm that takes
advantage of strictly second-order (SO) non-circular source signals. We consider a single …

We propose a subspace-based Widely Linear (WL) blind channel estimation scheme based
on the iterative power method for the WL constrained minimum variance Code Division …

In this paper, we present a widely-linear (WL) distributed beamforming algorithm that takes
full advantage of weak-sense second-order (SO) non-circular source signals. We consider a …

In this paper, we propose an adaptive blind reduced-rank beamforming algorithm based on
Krylov-subspace (KS) techniques and widely linear (WL) processing for non-circular signals …

This paper addresses the distributed beamforming problem, where widely-linear (WL)
processing is employed at both the relays and the receiver to take advantage of strictly …

Based on a uniform linear array, a new widely linear unscented Kalman filter-based constant
modulus algorithm (WLUKF-CMA) for blind adaptive beamforming is proposed. The new …