Author Information

Owen MauteFollow

individual

What campus are you from?

Daytona Beach

Authors' Class Standing

Owen Maute, Sophomore

Lead Presenter's Name

Owen Maute

Faculty Mentor Name

Berker Pekoz

Abstract

This paper presents RadAround, a passive 2-D direction-finding system designed for adversarial IoT sensing in contested environments. Using mechanically steered narrow beamantennas and field-deployable SCADA software, it generates high-resolution electromagnetic (EM) heatmaps using low-cost COTSor3D-printed components. The microcontroller-deployable SCADA coordinates antenna positioning and SDR sampling in real time for resilient, on-site operation. Its modular design enables rapid adaptation for applications such as EMC testing in disaster-response deployments, battlefield spectrum monitoring, electronic intrusion detection, and tactical EM situational awareness (EMSA). Experiments show RadAround detecting computing machinery through walls, assessing utilization, and pinpointing EM interference (EMI) leakage sources from Faraday enclosures.

Did this research project receive funding support from the Office of Undergraduate Research.

No

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RadAround: A Field-Expedient Direction Finder for Contested IoT Sensing & EM Situational Awareness

This paper presents RadAround, a passive 2-D direction-finding system designed for adversarial IoT sensing in contested environments. Using mechanically steered narrow beamantennas and field-deployable SCADA software, it generates high-resolution electromagnetic (EM) heatmaps using low-cost COTSor3D-printed components. The microcontroller-deployable SCADA coordinates antenna positioning and SDR sampling in real time for resilient, on-site operation. Its modular design enables rapid adaptation for applications such as EMC testing in disaster-response deployments, battlefield spectrum monitoring, electronic intrusion detection, and tactical EM situational awareness (EMSA). Experiments show RadAround detecting computing machinery through walls, assessing utilization, and pinpointing EM interference (EMI) leakage sources from Faraday enclosures.

 

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