Title: Adaptive channel equalisation using different hybrid metaheuristic algorithms in digital communication

Authors: N. Shwetha; Manoj Priyatham; N. Gangadhar

Addresses: Department of ECE, Dr. Ambedkar Institute of Technology, Bengaluru, Karnataka, India ' Department of ECE, APS College of Engineering, Bengaluru, Karnataka, India ' Department of Mechanical Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, Karnataka, India

Abstract: An adaptive channel equalisation concept is used to reduce the effects of inter-symbol interference (ISI) in digital communication. The equalisation process is considered an optimisation issue to minimise the mean square error (MSE) between the transmitted signal and the output of the equaliser. Therefore, metaheuristic algorithms are widely adopted to enhance the function of adaptive channel equalisers. In this paper, a bio-inspired emperor penguin optimisation (EPO) algorithm is hybridised with five different algorithms to optimise the finite impulse response (FIR) channel for reducing the effects of ISI. The main role of these algorithms is to optimise the weights or coefficients of the equaliser to reduce the effect of ISI. Finally, the performance of each algorithm in channel equalisation is assessed, and it is observed that EPO incorporated with both manta ray foraging and tunicate swarm algorithm has obtained relatively better equalisation results than other hybrid optimisation algorithms.

Keywords: adaptive channel equalisation; FIR filter; MSE; mean square error; inter symbol interference; digital communication; TSA; tunicate swarm algorithm; EPO; emperor penguin optimisation.

DOI: 10.1504/IJAACS.2024.139416

International Journal of Autonomous and Adaptive Communications Systems, 2024 Vol.17 No.4, pp.287 - 317

Received: 14 Nov 2021
Accepted: 11 Apr 2022
Published online: 02 Jul 2024 *

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