Performance Analysis of a novel equalizer for vehicular communication

Abstract

Intelligent Transport Systems (ITS) are high speed data communication system. In wireless communication, the signals transmitted through the channel are get effected by the physical characteristic and causes many different paths between the transmitter and the receiver. This always leads to phase shift, attenuation, delays, and distortion of the received signals arriving at the receiver end. In high speed digital data communication systems, equalizers are key components. Demodulating actual data from the noisy transmitted signal corrupted with interference among symbols, equalizers are the filters that can undo the channel noise. Adaptive equalizers utilized in vehicular communication to reduce the interference signal processing. The recent high speed digital communication systems need channel equalizers with a fast converging rate that cannot be met by conventional filters. In this paper we propose a novel linear MMNF equalization techniques using orthogonal frequency division multiplexing (OFDM). The simulation results are obtained using Python. We have conducted an experimental setup with real case measurements using the Raspberry Pi 3 B+ boards. The simulation results show that the equalizer at the receivers is good for noise free channel and is successful in removing ISI when compared to baseline model (standardized one).