A novel frequency drift tracking algorithm based on Kalman filter in 60GHz mm-WaveSystem

Abstract

In order to study and solve the frequency drift problem in 60 GHz wireless communication system, a new data auxiliary frequency synchronization and tracking algorithm is proposed in this article, which is on the base of Chu sequence as training pilots, utilizing the time feature of frequency variation to estimate frequency offset by Kalman filter. It not only promotes the OFDM system synchronization performance, but also reduces the length of pilots and extends pilots interval to promote signal transfer efficiency. The simulation results prove its feasibility and validity. © 2012 Springer Science+Business.