Iterative carrier frequency offset estimation for faster-than-nyquist signaling

Faster-than-Nyquist (FTN) signaling can effectively improve system spectrum usage by introduced controlled inter-symbol interference (ISI). However, the existing of ISI in FTN signaling system makes its carrier frequency-offset (CFO) estimation more complex and traditional algorithms may not work effectively. To fill this gap, we propose an iterative CFO estimation scheme for FTN signaling system. The scheme is composed of two parts, estimating the value of CFO roughly by discrete Fourier transform (DFT), and then finishing the accurate estimation by the improved iterative algorithm. Simulation results show that, in FTN transmission, as signal noise ratio raises, the proposed scheme makes the mean square error (MSE) of estimation value approach the Cramer-Rao Bound (CRB), which means getting better detection performance than the conventional ones designed for orthogonal transmission.