Electro-Smog Monitoring Using Low-Cost Software-Defined Radio Dongles
Autor: | Mounir Ghogho, Yassine Ben-Aboud, Sofie Pollin, Abdellatif Kobbane |
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Rok vydání: | 2021 |
Předmět: |
Electromagnetic field
Technology General Computer Science Computer science Internet of Things ELECTROMAGNETIC POLLUTION REGION Engineering MOBILE PHONES Radio frequency Frequency measurement Electronic engineering sensor systems Wireless General Materials Science EXPOSURE Power measurement signal processing Pollution measurement Science & Technology Computer Science Information Systems business.industry Amplifier Dongle Computer peripherals General Engineering Engineering Electrical & Electronic Software-defined radio TK1-9971 Power (physics) Electro-smog Computer Science Telecommunications low-cost sensors RADIATION Electrical engineering. Electronics. Nuclear engineering Power system measurements Antenna gain Density measurement business |
Zdroj: | IEEE Access, Vol 9, Pp 107149-107158 (2021) |
ISSN: | 2169-3536 |
DOI: | 10.1109/access.2021.3100773 |
Popis: | With the increasing use of wireless communication technologies, it is important to monitor electromagnetic exposure (ideally with high temporal and spatial resolutions). In this paper, we explore the use of low-cost software-defined radio dongle for electro-smog measurements and more specifically for electro-magnetic fields power measurements and the estimation of the incident power density. We describe how the raw data is collected and then compute the average electromagnetic field power. We then compensate for the non-linearity of the amplifier and the antenna gain to get the corrected electromagnetic field power measurements. We use these measurements to estimate the incident power density which is the metric that we use to evaluate the electro-smog. The results show that the considered low-cost SDR dongle is stable and provides good quality power measurements. The estimation of the incident power density is shown to be accurate enough for monitoring the electro-smog. |
Databáze: | OpenAIRE |
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