Bayesian Estimation of a Gaussian Source in Middleton's Class-A Impulsive Noise

  title={Bayesian Estimation of a Gaussian Source in Middleton's Class-A Impulsive Noise},
  author={Paolo Banelli},
  journal={IEEE Signal Processing Letters},
This letter derives the minimum mean square error (MMSE) Bayesian estimator for a Gaussian source impaired by additive Middleton's Class-A impulsive noise. Additionally, as low-complex alternatives, the letter considers two popular suboptimal estimators, such as the soft-limiter and the blanker. The optimum MMSE thresholds for these suboptimal estimators are obtained by iteratively solving fixed point equations. The theoretical findings are corroborated by simulation results, which highlight… CONTINUE READING
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