A novel approach for BOA trained ANN for channel equalization problems

Abstract

Abstract Providing communication between two remote points via a medium that is disturbed or distorted by noise or dispersion is the purpose of a communication system. In comparison to traditional approaches, metaheuristics inspired by nature have shown better performance. In this works, Butterfly Optimization Algorithm (BOA), an algorithm inspired by nature is presented as training algorithm for ANN. Here, we apply the training strategy for BOA in channel equalization. The proposed equalizer was found to perform better than previously known NN-based equalizers based on Bit Error Rate (BER) and Mean Square Error (MSE).