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International Journal of Smart Sensor and Adhoc Network

Abstract

Equalization is often used in wireless communication to mitigate the effects of Inter Symbol Interference (ISI). The Artificial Neural Network (ANN) has been a preferred tool for performing equalization to reduce ISI. This work describes the use of ANN and coding to improve performance of an equalizer, designed to tackle fading effects of Nakagami-m channel. Improvement in performance has been shown for coded transmission over uncoded one in Nakagami-m channel with ANN based equalization.

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