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Identifying, collecting, and gathering signals data is not difficult, and the DoD does it very well. Uncovering insights and value from that data, however, remains a continual challenge due to issues such as 1) too much data, 2) unclear goals regarding what insights the data can unlock, and 3) a lack of actionability from the data.
At a 2025 field trial, Certus Core partnered with a UAS R&D company that provided a small VTOL UAS fitted with a Software Defined Radio (SDR) and antenna to gather signal readings over a broad range of frequencies.
While the drone was in the air, ground-based emitters—located at unknown positions and operating on unknown frequencies—broadcast signals of interest.
Upon return, the Certus Core team ran a data processing workflow on the logged signal readings. This workflow was designed to pinpoint both the frequency and source location of these signals and deliver the results via a chat-based interface, thereby reducing the cognitive load on the operator.
The analysis incorporated a variety of data parameters, including geolocated telemetry (such as GPS coordinates, timestamps, and flight paths) and signal readings (such as frequency and signal strength).
Certus Core’s platform enhanced the identification and analysis of signal patterns, enabling faster and more informed decision-making.
See how chat-based queries + mission-derived context + AI governance eliminates the tradeoff between speed and accuracy with IBIS™.
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