Reduced complexity optimal detection of binary faster-than-Nyquist signaling
In this paper, we investigate the detection problem of binary faster-than-Nyquist (FTN) signaling and propose a novel sequence estimation technique that exploits its special structure. In particular, the proposed sequence estimation technique is based on sphere decoding (SD) and exploits the following two characteristics about the FTN detection problem: 1) the correlation between the noise samples after the receiver matched filter, and 2) the structure of the intersymbol interference (ISI) matrix. Simulation results show that the proposed SD-based sequence estimation (SDSE) achieves the optimal performance of the maximum likelihood sequence estimation (MLSE) at reduced computational complexity. This paper demonstrates that FTN signaling has the great potential of increasing the data rate and spectral efficiency substantially, when compared to Nyquist signaling, for the same bit-error-rate (BER) and signal-to-noise ratio (SNR).
|Conference||2017 IEEE International Conference on Communications, ICC 2017|
Bedeer, E. (Ebrahim), Yanikomeroglu, H, & Ahmed, M.H. (Mohamed Hossam). (2017). Reduced complexity optimal detection of binary faster-than-Nyquist signaling. In IEEE International Conference on Communications. doi:10.1109/ICC.2017.7997456