Abstract
Lately, there is a notable increase in devices connectivity and wireless telecommunication applications which generate a huge amount of electromagnetic emissions which may cause adverse effects to human health and other nearby devices due to Electromagnetic Interference; making the area of electromagnetic emissions to attract the attention of many researchers. In this work, we implemented a monitoring system, using a sound card and heterodyne receiver for scanning frequencies of interest and generating an event when detecting emission at these specific bands above threshold. The system triggers an alarm, saves the detected events in a database with relevant information including time, level of the signal, and frequency. The spectrum of the signal detected is stored for further analysis. Experimental validation of the proposed system shows promising results with increased efficacy and with reduced cost. The proposed system can be used as essential building block towards adoption of the artificial intelligence algorithms in electromagnetic data analysis and measurements.
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Bakkali, M., Abdalla, A.T. (2023). Autonomous Electromagnetic Signal Analysis and Measurement System. In: Saeed, R.A., Bakari, A.D., Sheikh, Y.H. (eds) Towards new e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-031-34896-9_23
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DOI: https://doi.org/10.1007/978-3-031-34896-9_23
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