Adaptive channel equalisation using different hybrid metaheuristic algorithms in digital communication
by N. Shwetha; Manoj Priyatham; N. Gangadhar
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 17, No. 4, 2024

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.

Online publication date: Tue, 02-Jul-2024

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