Abstract
Novel, simple, and accurately approximated expressions for the probability of detection of Gaussian signals in \(\eta -\mu \), \(\kappa -\mu \), and \(\alpha -\mu \) fading channels at the output of an energy detector subject to impulsive noise (Bernoulli-Gaussian model) are presented. The generalized Gauss-Laguerre quadrature is used to approximate the probability of detection as a finite sum. Monte Carlo simulations corroborate the accuracy of the approximations. The results are further extended to cooperative detection with hard decision combining information.
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