Energy Spreading Transform Based Iterative Equalization for Faster-Than-Nyquist Signaling

Faster-Than-Nyquist signling,as a non-orthogonal signaling format,can effectively enhances the spectral efficiency of communication systems. However, it introduces significant Inter-Symbol Interference (ISI). ISI can lead to inferior receiver performance in transmission systems. Therefore,requires some competent equalization schemes as a key technology to overcome the key impediment to its use in future mobile communications.This paper aims to develop a high-performance Faster-Than-Nyquist(FTN) signaling system by utilizing an Iterative Decision Feedback Equalizer, which mitigates the impact of local errors through Energy Spreading Transform (EST). EST can extend the energy of an error symbol to the entire transmission frame, thereby minimizing their influence on surrounding symbols and improving overall system performance. In addition, we ensured that the SINR output at each iteration reaches its maximum during the iterative process.Simulation results demonstrate that this algorithm can have better ISI resistance while keeping the complexity low, and its performance improves with increasing iterations.