PROJECT TITLE :

EM-based SNR estimator for faster-than-Nyquist signalling system

ABSTRACT:

Considering the intentionally introduced inter-symbol interference and coloured noise, proposed may be a new signal-to-noise ratio (SNR) estimator based mostly on the expectation-maximisation algorithm for the faster-than-Nyquist signalling system. The proposed SNR estimator can maximise the chance perform by iteratively using the soft data from the channel decoder. Moreover, the new SNR estimator will be applied into high-order modulation. The performance of the proposed SNR estimator is verified and tested.