Title :
EM-based SNR estimator for faster-than-Nyquist signalling system
Author :
Xiaohu Liang ; Aijun Liu ; Xiaofei Pan ; Gang Wu
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
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.
Keywords :
channel coding; decoding; expectation-maximisation algorithm; intersymbol interference; mobile radio; telecommunication signalling; channel decoder soft information; coloured noise; electromagnetic based SNR estimator; expectation-maximisation algorithm; faster-than-Nyquist signalling system; intersymbol interference; maximum likelihood function; signal-to-noise ratio estimator;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2015.1517
