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.
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