TITLE:
Comparison of Two Approaches to Modeling Additive White Gaussian Noise as It Acts on Arbitrary Signals
AUTHORS:
Serhii Rassomakhin, Joseph Brifman
KEYWORDS:
Additive White Gaussian Noise (AWGN), Normal Distribution, Sampling, Signal-to-Noise Ratio, Fourier Transformation
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.18 No.4,
April
30,
2025
ABSTRACT: The purpose of this paper is to substantiate the correct method for modeling additive white Gaussian noise under conditions of using analog filtering when processing a signal-noise mixture. To achieve the result, two methods of noise modeling used in signal processing theory for Gaussian channels are considered: the first is a traditional simplified discrete method, and the second is a more complex, but functionally correct analog-discrete method. As a result of the comparison, the undeniable advantages of the analog-discrete method are proven. A conclusion was made about the preference of using the proposed new method, which ensures the complete adequacy of the noise model.