abstract

• This paper presents a hardware/software design to simulate additive white Gaussian noise (AWGN) channels. Such a tool is employed here to evaluate the bit error rate (BER) of a communication system. The implementation of the noise generator is based on the central limit theorem by means of accumulating samples of a uniform random variable obtained using a linear congruential generator. The results show the importance of developing an accurate noise generator in terms of its statistics. In this regard, there is a trade-off between the accuracy of the noise samples and the complexity of the generator. We show how the accuracy of the samples influences on the BER results producing a meaningful error with respect to theoretical computations when the precision of the generator is low. © 2019 IEEE.

authors

• Gutiérrez C.A.
• Gómez-Vega C.A.
• Hernandez E.G.
• Perez-Guerrero H.A.
• Tecpanecatl Xihuitl José Luis
• Torres-Uresti D.I.

publication date

• 2019-01-01

published in

• 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019  Proceedings

keywords

• Gaussian noise; hardware-based simulation; noise generator Bit error rate; Economic and social effects; White noise; Additive white Gaussian noise channel; Central Limit Theorem; Hardware/software design; Linear congruential generator; Trade off; Uniform random variables; Gaussian noise (electronic)

Digital Object Identifier (DOI)

• 10.1109/CONCAPANXXXIX47272.2019.8977092

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volume

• 2019-November