Abstract:

For the case of symbol timing in nonlinear and non-Gaussian orthogonal frequency division multiplexing (OFDM) systems, it is usually difficult to directly utilize Kalman filter. Thereafter, a feasible structure known as sequential Monte Carlo ( SMC) is brought forward. Estimation and tracking the symbol timing offset in frequency selective multi-paths fading channels based on the application of SMC technique is investigated. The problems of symbol timing offset and system observation function are represented as dynamic state-space models and recursive computation of relevant probability distributions using the concepts of importance sampling and approximation of probability distributions with discrete random measures. The performance of the SMC technique and extend Kalman filter (EKF) are compared in terms of bit error rate (BER) and mean square error (MSE) obtained by simulations and SMC superior outperforms EKF for the considered SNR.

Key words: orthogonal frequency division multiplexing, symbol timing, sequential Monte Carlo