This article presents a tutorial on multi-user multiple-antenna wireless systems with a very
large number of antennas, known as massive multi-input multi-output (MIMO) systems …

We propose iterative detection and decoding (IDD) algorithms with low-density parity-check
(LDPC) codes for multiple-input multiple-output (MIMO) systems operating in block-fading …

In signal processing and data analytics, Wiener filter is a classical powerful tool to transform
an input signal to match a desired or target signal by a linear time-invariant (LTI) filter. The …

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 work, we propose a novel adaptive reduced-rank receive processing strategy based
on joint preprocessing, decimation and filtering (JPDF) for large-scale multiple-antenna …

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

The optimal widely linear (WL) minimum variance distortionless response (MVDR)
beamformer, which has a powerful performance for the reception of a noncircular signal …

Reduced-rank adaptive processing (RRAP) has received considerable attention in recent
years. One of the key problems with this technique is how to determine an appropriate …

This article presents a tutorial on multiuser multiple-antenna wireless systems with a very
large number of antennas, known as massive multi-input multi-output (MIMO) systems …

Abstract Space‐time adaptive processing (STAP) array has found extensive use in the
global navigation satellite system for interference suppression. Nevertheless, the …