New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms

This paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost functio...

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Main Authors: Caroline A. D. Silva, Marcelo A. C. Fernandes
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Telecom
Subjects:
Online Access:https://www.mdpi.com/2673-4001/6/1/6
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author Caroline A. D. Silva
Marcelo A. C. Fernandes
author_facet Caroline A. D. Silva
Marcelo A. C. Fernandes
author_sort Caroline A. D. Silva
collection DOAJ
description This paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. The proposed method termed Blind Linear Equalizer based on genetic algorithm (BLE-GA) enhances performance by leveraging a GA’s ability to handle stochastic variables, offering rapid convergence and resilience against signal noise and inter-symbol interference. Extensive simulations demonstrate the effectiveness of BLE-GA across different QAM systems, outperforming conventional techniques like the Constant Modulus Algorithm in scenarios with high modulation levels. This study validates the potential of using GAs in adaptive blind equalization to achieve reliable and efficient communication, even in complex and noisy channel conditions.
format Article
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publishDate 2025-01-01
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record_format Article
series Telecom
spelling doaj-art-806e48e07e5a4fe388e97edf4b2e73032025-08-20T01:48:54ZengMDPI AGTelecom2673-40012025-01-0161610.3390/telecom6010006New Approach of Blind Adaptive Equalizer Based on Genetic AlgorithmsCaroline A. D. Silva0Marcelo A. C. Fernandes1InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, BrazilInovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, BrazilThis paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. The proposed method termed Blind Linear Equalizer based on genetic algorithm (BLE-GA) enhances performance by leveraging a GA’s ability to handle stochastic variables, offering rapid convergence and resilience against signal noise and inter-symbol interference. Extensive simulations demonstrate the effectiveness of BLE-GA across different QAM systems, outperforming conventional techniques like the Constant Modulus Algorithm in scenarios with high modulation levels. This study validates the potential of using GAs in adaptive blind equalization to achieve reliable and efficient communication, even in complex and noisy channel conditions.https://www.mdpi.com/2673-4001/6/1/6blind equalizationgenetic algorithmslinear programmingstochastic linear programming
spellingShingle Caroline A. D. Silva
Marcelo A. C. Fernandes
New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
Telecom
blind equalization
genetic algorithms
linear programming
stochastic linear programming
title New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
title_full New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
title_fullStr New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
title_full_unstemmed New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
title_short New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
title_sort new approach of blind adaptive equalizer based on genetic algorithms
topic blind equalization
genetic algorithms
linear programming
stochastic linear programming
url https://www.mdpi.com/2673-4001/6/1/6
work_keys_str_mv AT carolineadsilva newapproachofblindadaptiveequalizerbasedongeneticalgorithms
AT marceloacfernandes newapproachofblindadaptiveequalizerbasedongeneticalgorithms