Signal-to-noise ratio estimation using higher-order moments

@article{Seelamantula2006SignaltonoiseRE,
title={Signal-to-noise ratio estimation using higher-order moments},
author={Chandra Sekhar Seelamantula and Thippur V. Sreenivas},
journal={Signal Processing},
year={2006},
volume={86},
pages={716-732}
}

We consider the problem of estimation of the signal-to-noise ratio (SNR) of an unknown deterministic complex phase signal in additive complex white Gaussian noise. The phase of the signal is arbitrary and is not assumed to be known a priori unlike many SNR estimation methods that assume phase synchronization. We show that the moments of the complex sequences exhibit useful mean-ergodicity properties enabling a ‘‘method-of-moments’’ (MoM)-SNR estimator. The Cramer–Rao bounds (CRBs) on the signal… CONTINUE READING