Choice of Gaussian Noise Generator for Noise Immunity Estimation of Binary Channels with Viterbi Detection

2010
Alberts Zeļenkovs, Sergey Zelenkov

This article reveals three methods of noise generating with Gauss distribution by using uniformly distributed random-numbers in computer imitation modeling of the digital communications systems – the uniformly distributed random-numbers summing method, Box-Muller method and Marsaglia-Tsang ziggurat-method. The results of simulation by the Monte Carlo include histograms of noise generators and limits for accuracy and computational time of various methods of Gaussian noise generating to evaluate the noise immunity of transmission of binary data by antipodal signals in symmetric channels with intersymbol interference and the Viterbi detection

Keywords
BER, bit error probability, impulse response, intersymbol interference, noise immunity, noise generators, signal-to-noise ratio, state diagram, Viterbi detection

Zeļenkovs, A., Zelenkov, S. Choice of Gaussian Noise Generator for Noise Immunity Estimation of Binary Channels with Viterbi Detection. Telecommunications and Electronics. Vol.10, 2010, pp.7-15. ISSN 1407-8880.

Publication language
English (en)