Advanced Blind Mutually Referenced Equalizer in MIMO Communications Systems with QPSK Modulation

The rapid advancement of digital communication and mobile networks demands robust techniques to ensure high-speed transmissions and enhanced spectral efficiency. Multiple Input Multiple Output (MIMO) systems play a critical role in achieving these goals, but face challenges like signal distortions and inter-symbol interference (ISI) due to channel noise and multi-path effects. Traditional equalization methods, such as Zero Forcing (ZF) and Minimum Mean Square Error (MMSE), require prior knowledge of the channel, which can limit spectral efficiency. Blind equalization algorithms, such as the Constant Modulus Algorithm (CMA) and Mutually Referenced Equalizers (MRE), offer a solution by removing distortions without requiring channel knowledge. In this paper, we introduce an advanced MRE algorithm designed for blind equalization in MIMO systems using Quadrature Phase Shift Keying (QPSK) modulation. Our proposed method enhances the performance of MIMO systems by employing mutual referencing between multiple equalizers, allowing for faster convergence and improved robustness. This results in better handling of complex communication environments, offering an effective solution to the challenges posed by traditional equalization methods. The algorithm is designed to optimize signal recovery and improve transmission reliability, making it a valuable tool for modern communication systems.

Authors

Publication Details

Journal
Electrotehnica Electronica Automatica
Published
2025-09-08
DOI
https://doi.org/10.46904/eea.25.73.3.1108015
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Blind Mutually Referenced Equalizer in MIMO Communications Systems with QPSK Modulation

Hocine Bellahsene, Abdelmalik Taleb‐Ahmed, Sofiane Latreche
Electrotehnica Electronica Automatica
Blind Source Separation Techniques
article

Advanced Blind Mutually Referenced Equalizer in MIMO Communications Systems with QPSK Modulation

Hocine Bellahsene, Abdelmalik Taleb‐Ahmed, Sofiane Latreche
article en

Abstract

The rapid advancement of digital communication and mobile networks demands robust techniques to ensure high-speed transmissions and enhanced spectral efficiency. Multiple Input Multiple Output (MIMO) systems play a critical role in achieving these goals, but face challenges like signal distortions and inter-symbol interference (ISI) due to channel noise and multi-path effects. Traditional equalization methods, such as Zero Forcing (ZF) and Minimum Mean Square Error (MMSE), require prior knowledge of the channel, which can limit spectral efficiency. Blind equalization algorithms, such as the Constant Modulus Algorithm (CMA) and Mutually Referenced Equalizers (MRE), offer a solution by removing distortions without requiring channel knowledge. In this paper, we introduce an advanced MRE algorithm designed for blind equalization in MIMO systems using Quadrature Phase Shift Keying (QPSK) modulation. Our proposed method enhances the performance of MIMO systems by employing mutual referencing between multiple equalizers, allowing for faster convergence and improved robustness. This results in better handling of complex communication environments, offering an effective solution to the challenges posed by traditional equalization methods. The algorithm is designed to optimize signal recovery and improve transmission reliability, making it a valuable tool for modern communication systems.

Electrotehnica Electronica AutomaticaVol. 73(3)
Openalex Percentile: Top 69%
Blind Source Separation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.