A tracking algorithm for OFDM timing synchronization using particle filtering

Accurate estimation of synchronization parameters is a fundamental issue in all digital communication systems, especially in the orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we investigate a novel approach to estimation and tracking the symbol timing offset in unknown multi-paths fading channel based on the application of method called sequential Monte Carlo. The performance of the proposed technique is studied through computer simulations that illustrate the accuracy of timing recovery and particle filtering receiver outperforms extended Kalman filtering (EKF) for the considered SNR.