Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities

M Bakulin, V Kreyndelin, S Melnik, V Sudovtsev… - Sensors, 2022 - mdpi.com
One of the development directions of new-generation mobile communications is using
multiple-input multiple-output (MIMO) channels with a large number of antennas. This …

An overview on the applications of matrix theory in wireless communications and signal processing

X Wang, E Serpedin - Algorithms, 2016 - mdpi.com
This paper overviews the key applications enabled by matrix theory in two major fields of
interest in electrical engineering, namely wireless communications and signal processing …

Superimposed training based estimation of sparse MIMO channels for emerging wireless networks

B Mansoor, SJ Nawaz, B Amin… - 2016 23rd …, 2016 - ieeexplore.ieee.org
Multiple-input multiple-output (MIMO) systems constitute an important part of todays wireless
communication standards and these systems are expected to take a fundamental role in …

Effective signal detection for the spatial multiplexing mimo systems

МG Bakulin, VV Vityazev, VB Kreyndelin… - Telecommunications …, 2018 - dl.begellhouse.com
ABSTRACT MIMO technologies represent one of the important trends of development for the
telecommunication systems. However, development of the MIMO technologies sets, at the …

Robust massive MIMO channel estimation for 5G networks using compressive sensing technique

Z Albataineh, K Hayajneh, HB Salameh, C Dang… - … -International Journal of …, 2020 - Elsevier
The pilot overhead provides fundamental limits on the performance of massive multiple-
input multiple-output (MIMO) systems. This is because the performance of such systems is …

Cost efficient representation and signaling of channel information in MIMO systems

CA Jotten, PW Baier, M Meurer… - Proceedings IEEE 56th …, 2002 - ieeexplore.ieee.org
Radio communications systems, which utilize antenna arrangements consisting of several
transmit and receive antennas, have inspired theorists and are now on the verge of practical …

Adaptive weight matrix design and parameter estimation via sparse modeling for MIMO radar

P Gong, WQ Wang, X Wan - Signal Processing, 2017 - Elsevier
Although sparse representation and sparse recovery algorithms for colocated multiple-input
multiple-output (MIMO) radar have received much attention, incoherence of the sensing …

Two-stage LASSO ADMM signal detection algorithm for large scale MIMO

A Elgabli, A Elghariani, AO Al-Abbasi… - 2017 51st Asilomar …, 2017 - ieeexplore.ieee.org
This paper explores the benefit of using some of the machine learning techniques and Big
data optimization tools in approximating maximum likelihood (ML) detection of Large Scale …

On channel estimation and optimal training for mimo systems

M Biguesh, AB Gershman - Processing Workshop Proceedings …, 2004 - ieeexplore.ieee.org
The performance of MIMO channel estimation methods using training sequences is studied.
We consider the popular least squares (LS) and minimum mean-square-error (MMSE) …

SVD-based MIMO precoding and equalization schemes for realistic channel knowledge: Design criteria and performance evaluation

H Busche, A Vanaev, H Rohling - Wireless Personal Communications, 2009 - Springer
Multiple-input multiple-output (MIMO) based communication systems with precoding, bit-
loading and equalization procedures are considered in this paper. Applications of precoding …