Using Open-Source Software Defined Radio Platforms for Empirical Characterization of Man-Made Impulsive Noise
Document Type
Article
Publication Date
2020
DOI
10.1109/MEMC.2020.9327997
Publication Title
IEEE Electromagnetic Compatibility Magazine
Volume
9
Issue
4
Pages
54-61
Abstract
The paper discusses the use of affordable software-defined radio (SDR) platforms for measuring and characterizing man-made noise with impulsive components using Middleton noise models. For illustration, numerical results from a case study are presented, in which man-made noise is measured at three different locations corresponding to three distinct types of radio-frequency (RF) environments, and for which the parameters of the underlying Middleton Class A impulsive noise model are derived. The study demonstrates one of the many applications of SDR platforms, whose versatility enables dedicated noise measurements systems that can be configured through software.
Original Publication Citation
Popescu, O., Musson, J., & Popescu, D. C. (2020). Using open-source software defined radio platforms for empirical characterization of man-made impulsive noise. IEEE Electromagnetic Compatibility Magazine, 9(4), 54-61. https://doi.org/10.1109/MEMC.2020.9327997
Repository Citation
Popescu, Otilia; Musson, John; and Popescu, Dimitrie C., "Using Open-Source Software Defined Radio Platforms for Empirical Characterization of Man-Made Impulsive Noise" (2020). Engineering Technology Faculty Publications. 151.
https://digitalcommons.odu.edu/engtech_fac_pubs/151
Comments
© 2020 IEEE Electromagnetic Compatibility Magazine