An adaptive equalizer based on particle swarm optimization techniques

Adaptive equalization is important due to its need for reducing inter-symbol interference in digital communication. In this work, particle swarm optimization (PSO) is adopted for designing adaptive equalizers. The effectiveness of the PSO algorithms in channel equalization is investigated. Different...

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Bibliographic Details
Main Authors: Al-Awami, A.T., Saif, W., Zerguine, A., Zidouri, A., Cheded, L.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive algorithm
Adaptive Equalization
Adaptive equalizers
Adaptive filters
Convergence
Cost function
Interference
Least squares approximation
Optimization
Particle Swarm
Particle swarm optimization
Petroleum
Systems engineering and theory
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Summary:Adaptive equalization is important due to its need for reducing inter-symbol interference in digital communication. In this work, particle swarm optimization (PSO) is adopted for designing adaptive equalizers. The effectiveness of the PSO algorithms in channel equalization is investigated. Different modifications of the original PSO technique are discussed and a new modification is proposed. The performance of various PSO algorithms is compared to that of the conventional LMS algorithm. Extensive simulation work has shown the superior performance of the proposed PSO-based adaptive equalizer over its LMS-based counterpart.
DOI:10.1109/ISSPA.2007.4555436