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.
Baruah, Bidyut Bikash and Sarma, Kandarpa Kumar
"ANN Based Equalization using Coded Inputs in Nakagami-m Faded Channel,"
International Journal of Smart Sensor and Adhoc Network: Vol. 1
, Article 11.
Available at: https://www.interscience.in/ijssan/vol1/iss4/11