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

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