Title :
Parallel Gaussian White Noise Generator Based on Cellular Automaton Theory and Box Muller Algorithm
Author :
Yang Zhou ; Ning Wang ; Xin Jiang
Author_Institution :
Dept. of Inf. & Commun., Beijing Inst. of Technol., Beijing, China
Abstract :
In order to simulate the wireless channel models, Gaussian white noise is needed to be generated. This paper proposes a parallel operation method based on cellular automation theory to obtain large pseudorandom numbers in high frequency. Furthermore, according to the Box Muller algorithm, the uniform distribution numbers are transformed to desired Gaussian white noise through curve matching function. During FPGA implementation, the high speed and real time noise generation is realized by combining the two methods.
Keywords :
Gaussian noise; field programmable gate arrays; random number generation; white noise; wireless channels; Box Muller algorithm; FPGA implementation; cellular automaton theory; curve matching function; high-speed noise generation; parallel Gaussian white noise generator; parallel operation method; pseudorandom numbers; real-time noise generation; uniform distribution numbers; wireless channel model; Algorithm design and analysis; Automata; Field programmable gate arrays; Generators; Polynomials; Vectors; White noise; Box Muller algorithm; cellular automation; matched curve; parallel; pseudorandom numbers;
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
DOI :
10.1109/WCSN.2014.36
