Channel Estimation and Equalization Using Higher Order Cumulant and Constant Modulus Algorithms

This paper present the problem of blind channel estimation of a non-minimum phase system using three algorithms. These algorithms play an important role for blindly parameters channel estimation. Thus studying the problem of blind channel equalization based on the presented algorithm and the filter adaptive equalizer. The simulation results in noisy environment and for different SNR values, demonstrate that the proposed algorithm is more powerful than other algorithms. In addition the proposed algorithm is more powerful in comparison to Constant Modulus Algorithm (CMA) at the blind channel equalization.

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Publication Details

Journal
WSEAS TRANSACTIONS ON COMMUNICATIONS
Published
2024-12-27
DOI
https://doi.org/10.37394/23204.2024.23.14
Citations
2
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
0.70
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article

Channel Estimation and Equalization Using Higher Order Cumulant and Constant Modulus Algorithms

Saïd Safi, B. Manaut, Said Elkassimi
2 citations
WSEAS TRANSACTIONS ON COMMUNICATIONS
Blind Source Separation Techniques
0.70
article

Channel Estimation and Equalization Using Higher Order Cumulant and Constant Modulus Algorithms

Saïd Safi, B. Manaut, Said Elkassimi
article en
2 citations

Abstract

This paper present the problem of blind channel estimation of a non-minimum phase system using three algorithms. These algorithms play an important role for blindly parameters channel estimation. Thus studying the problem of blind channel equalization based on the presented algorithm and the filter adaptive equalizer. The simulation results in noisy environment and for different SNR values, demonstrate that the proposed algorithm is more powerful than other algorithms. In addition the proposed algorithm is more powerful in comparison to Constant Modulus Algorithm (CMA) at the blind channel equalization.

WSEAS TRANSACTIONS ON COMMUNICATIONSVol. 23
Laboratoire Interdisciplinaire de Physique (FR)
Openalex Percentile: Top 28%
Blind Source Separation Techniques
0.70
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