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Table 1 Different interference models

From: Impulsive noise modeling and robust receiver design

Where does the model come from?

What are the main results?

Examples, comments, simplification

Work from Middleton [32, 33]

Distribution expressed as infinite series

Simplification to the most significant terms: \(\epsilon\)-contaminated [115, 116], Bernoulli–Gaussian [39, 40, 117, 118], Gaussian mixtures [37, 54], Markov [41, 42]

Empirical approach based on fitting of data and improvement of the receiver

Many different distributions

Laplace [50], Cauchy [17], Cauchy-Gaussian mixture [55], Generalized Gaussian [51,52,53], Normal Inverse Gaussian [23]

Based on stochastic geometry [62,63,64, 119]

Distribution expressed as infinite series

If no near-field effect, falls in the attraction domain of an \(\alpha\)-stable distribution [17, 65, 74]