The study of OFDM synchronization based on the particle swarm optimization algorithm

Abstract

The OFDM technology has been widely applied for the effective information transmission in the Internet of Vehicles. In order to solve the problem that synchronization process is complex and the amount of calculation is very large by using the current synchronization algorithm of OFDM system, we propose a synchronization method based on the particle swarm optimization algorithm in the paper. Through being taken the symbol timing and frequency offset of the OFDM system as a two-dimensional particle, the estimations of the symbol timing and frequency offset value are implemented simultaneously by the particle swarm optimization algorithm. Thus the synchronization of OFDM system is achieved by compensating the time and frequency. The computer simulation results show that the proposed algorithm has the better performance, the simpler implementation, and the lower complexity than the existing synchronization algorithms. © 2014 Springer International Publishing Switzerland.