Open AccessEM‐based SNR estimator for faster‐than‐Nyquist signalling system
Author(s) -
Liang Xiaohu,
Liu Aijun,
Pan Xiaofei,
Wu Gang
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1517
Subject(s) - estimator , signal to noise ratio (imaging) , algorithm , computer science , nyquist–shannon sampling theorem , channel (broadcasting) , interference (communication) , mathematics , noise (video) , electronic engineering , statistics , telecommunications , engineering , artificial intelligence , image (mathematics)
Considering the intentionally introduced inter‐symbol interference and coloured noise, proposed is a new signal‐to‐noise ratio (SNR) estimator based on the expectation–maximisation algorithm for the faster‐than‐Nyquist signalling system. The proposed SNR estimator can maximise the likelihood function by iteratively using the soft information from the channel decoder. Moreover, the new SNR estimator can be applied into high‐order modulation. The performance of the proposed SNR estimator is verified and tested.