Kalman Equalization for TDS-OFDM Systems over Fast Fading Channels

Abstract

By analyzing the characteristic of fast fading channels, a Kalman equalization method of directly estimating channel values in time domain is proposed based on time domain synchronization orthogonal frequency division multiplexing (TDS-OFDM) system models. The proposed algorithm is one-dimensional Kalman method and has low complexity. In addition, for tracking the time-varying channel, a minimum mean-squared error (MMSE) equalizer in time domain and a iterative decision-feedback method are also proposed. For given signal-to-noise ratios (SNRs), the simulation results show that the proposed algorithm has better performance than the other algorithms in fast fading channels.