Swarm Intelligence Based MMSE Frequency Domain Equalization for MIMO Systems

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Published: Jun 27, 2023
DOI: https://doi.org/10.37936/ecti-eec.2023212.249824
Keywords:
Frequency domain equalization Particle swarm optimization Decision feedback equalization Minimum mean square error

Main Article Content

D. C. Diana
Department of ECE, Easwari Engineering College. Ramapuram, Chennai-89
R. Hema
Department of ECE, Easwari Engineering College. Ramapuram, Chennai-89

Abstract

The automatic upgradation of equalizer weights in channel equalization demands a low-complexity, highly accurate estimation of recovery at the minimum possible time. The low-complexity frequency domain equalization improves the minimum mean square error (MMSE) of the equalization process. Adding the superiority of particle swarm optimization (PSO) to the equalizer coefficient selection process enhances the MMSE. This work proposes frequency-domain channel equalization along with a modified PSO (MPSO) as an adaptive algorithm for equalizer weight selection in MIMO systems. The simulation results validate the performance with the time domain linear and decision feedback equalizer structures for BPSK and QAM systems. The parameters are carefully selected by analyzing MMSE thoroughly under timevarying channel conditions.

Article Details

How to Cite
Diana, D. C., & Hema, R. (2023). Swarm Intelligence Based MMSE Frequency Domain Equalization for MIMO Systems. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 21(2), 249824. https://doi.org/10.37936/ecti-eec.2023212.249824
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Vol. 21 No. 2 (2023): Regular Issue (June 2023)
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Author Biographies

D. C. Diana, Department of ECE, Easwari Engineering College. Ramapuram, Chennai-89

D. C. Diana received BE degree in Electronics and Communication Engineering from Manonmanium Sundaranar University, Tamil Nadu in 2004 and ME degree from Anna University, Tamil Nadu, India in 2007. She has completed PhD degree in the area of Swarm Intelligence algorithms for Channel Equalization from Anna University in the year 2017. Currently she is working as Associate Professor in the Department of Electronics & Communication Engineering at Easwari Engineering College. She has 12 years of experience in Teaching. Her research interest includes Adaptive signal processing, Wireless communications and Echo cancellation.

R. Hema, Department of ECE, Easwari Engineering College. Ramapuram, Chennai-89

R. Hema received B.E. Degree in Electronics & Communication Engineering from Bharadhidasan University, TamilNadu, India in 2000 and M.Tech degree in Communication Systems from National Institute of Technology (NIT), Trichy, Tamil Nadu, India, in 2005. She has completed PhD degree in the area of Underwater Wireless Communication from Anna University in the year 2021. Currently she is working as Assistant Professor in the Department of Electronics & Communication Engineering at Easwari Engineering College. She has 17 years of experience in Teaching. Her area of interest includes Wireless and Ad-hoc Networks, Optical Communication and Underwater Wireless Communication.

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