Performance Analysis of a novel equalizer for vehicular communication

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).

I. Introduction

By ITS vehicles, are connected and more efficiently communicate each other. Vehicular communication is broadly supposed to assist several applications such as Safety oriented, Commercial oriented, Convenience oriented and Productive. It is very important for communication in among vehicles to be robust and reliable [1]. As far as the, channel equalizers schemes are of great importance for the any communication systems. The need for equalizers arises from the fact that the channel has distortion which will interfere with other transmitted signals due to phase delays. In order to solve this problem equalizers are designed to minimize the effect. Equalizer is destined to work in such a way that Bit Error Rate (BER) should be decrease and Signal-to-Noise Ratio (SNR) should be increase [2]. Equalizer gives the inverse of channel to the received signal and combination of channel and equalizer gives actual response. Efficient, Robust and true channel equalizers play vital role to provide reliable vehicular communications [3].