Gaussian Distributed Noise Generator Design Using MCU-STM32

Dublin Core

Title

Gaussian Distributed Noise Generator Design Using MCU-STM32

Subject

Noise Generator, Gaussian Distribution, Enhanced Box-Muller, MCU-STM32F4

Description

The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian
distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications
system testing, input noise in testing ADC (Analog to Digital Converter) devices as well as testing other digital systems.
Random noise signal generation can be done using resistors or diodes. The weakness of the noise generator system using
physical components is the statistical distribution. An alternative solution is to use a Pseudo-Random System that can be
adjusted for distribution and other statistical parameters. In this study, the implementation of the Gaussian distributed pseudo
noise generation algorithm based on the Enhanced Box-Muller method is described. Prototype of noise generation system
using a minimum system board based on Cortex Microcontroller or MCU-STM32F4. From the test results, it was found that
the Enhanced Box-Muller (E Box-Muller) method can be applied to the MCU-STM32F4 efficiently, producing signal noise
with Gaussian distribution. The resulting noise signal has an amplitude of ±1Volt, is Gaussian distributed and has a relatively
wide frequency spectrum. The noise signal can be used as a jamming device in a certain frequency band using an Analog
modulator

Creator

M. Nanak Zakaria1
, Achmad S.2
, Ahmad Wilda Y3
, Lis Diana Mustafa4

Publisher

Malang State Polytechnic

Date

20-04-2022

Contributor

Fajar Bagus W

Format

PDF

Language

Indonesia

Type

Text

Files

Collection

Citation

M. Nanak Zakaria1 , Achmad S.2 , Ahmad Wilda Y3 , Lis Diana Mustafa4, “Gaussian Distributed Noise Generator Design Using MCU-STM32,” Repository Horizon University Indonesia, accessed June 1, 2025, https://repository.horizon.ac.id/items/show/9099.