MLSE Equalizer With Channel Shortening for Faster-Than-Nyquist Signaling

Abstract

Faster-than-Nyquist (FTN) signaling by introducing controlled inter-symbol interference (ISI) has been viewed as a potential technique in future communication systems due to its higher spectrum efficiency. In order to achieve the high transmission rate, the effective receivers have to been designed to suppress the ISI and extract the transmit signals. Therefore, we propose a channel shortening-based maximum-likelihood sequence estimation (MLSE) scheme. In this scheme, the length of the shortening channel can be optimized for the different time-squeezing factor, which determines the transmission rate and ISI in FTN systems, to achieve a good tradeoff between the detection performance and the implementation complexity. The simulation analysis results show that the proposed MLSE equalizer with optimized channel shortening can achieve a good tradeoff between the performance and the complexity.