Adaptation of the power spectral density of a pseudorandom Gaussian noise to the real radio-frequency noise of the ISM band

Nowadays, simulation is a key part of the development and evaluation of every wireless system, while additive, white Gaussian noise (AWGN) is the basic noise model used in the created simulation models. Although the pseudorandom AWGN is the most common substitution of distortions used in the transmission models, it may differ significantly from the background noise recorded by the real radio receiver. In this paper authors present measurements of the real radio-frequency (RF) background noise of industrial, scientific and medical (ISM) band and analyze the differences between real and pseudorandom noise. The authors also propose polynomial adaptive equations that reduce the differences between pseudorandom and real RF noise power spectral densities. Using the given equations allows for better mapping of the real disturbances of the ISM band without the need for a prior noise measurements.