Author : Mohamed Hafez
Degree : M.Sc. Electric
Title: Blind Signal to Noise Ratio Estimation in General Fading Environments
Abstract
Signal-to -noise-ratio (SNR) is an
important parameter that is used in most of the communication systems. A blind
SNR estimator that uses Higher order statistics (HaS) of the received signal is
proposed. Although this envelope based non-data-aided estimator has been
derived for orthogonal frequency-division multiplexed (OFD:NI) signals, it
works for any time domain Gaussian distributed signals as well. A closed form
for the estimator, that is a function of the moments of the received signal and
the Nakagami¬m parameter, is derived. Interestingly, the obtained form shows
that the proposed estimator is independent of the constellation of the signal.
Furthermore, a general mathematical form is given for the even moments of the
received signal in terms of SNR and Nakagami-rn parameter. An extension to
multiple antennas configurations is provided, as well. The performance of
proposed estimator is evaluated based on the mean squared error under different
conditions of the channel. Our results reveal that the proposed estimator works
better in bad fading conditions and spans the typical range of concern for
communication systems.
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