Time-Domain Turbo Equalization for Oversampled Single Carrier System over Doubly Selective Fading Channels Using Kalman Filtering

In this paper, we present a time-domain turbo equalizer for oversampled single carrier (OSC) system under doubly selective fading channels, which is in a new scenario. The detected information symbols are stacked into a state space vector, and its relationship with the received signals is developed, which contributes to realising a Kalman filter. In the receiver, the adaptive equalizer using Kalman filters cooperates with the soft-input soft-output (SISO) decoder to iteratively generate posteriori estimates for each data symbol. Numerical simulation results demonstrate the proposed scheme outperforms both the extended Kalman filter (EKF) method and the linear Kalman filter (LKF) method significantly. Furthermore, complexity analysis is also presented to illustrate the increasing complexity.