Title

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.

Comments

© 2020 IEEE Electromagnetic Compatibility Magazine

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

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