Time-Varying Channel Estimation for OFDM Systems with Superimposed Training and Basis Expansion Model

An approach of superimposed training (ST) aided time-varying (TV) channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems is presented. By modeling the channel as complex exponential bases, channel estimation is adopted over multiple OFDM symbols by using a sequence of data-dependent ST signal. Simulations illustrate the proposed channel estimator achieves a satisfactory estimation performance under a wide range of Doppler shift.