Figure1 (IMAGE)

Sungkyunkwan University External Affairs Division (PR team)

Figure1

Caption

Overall framework of the proposed technology. Radio (I/Q) signals from drones are fed into a neural architecture search (NAS) process that automatically designs a lightweight AI model, which is then deployed on a low-power FPGA chip for real-time drone identification.

Credit

D. Y. Kim, J. Kang, C. -H. Lee and W. Lim, "UAV-NAS: UAV Identification on FPGAs via Neural Architecture Search," in IEEE Transactions on Industrial Informatics, vol. 22, no. 8, pp. 7347-7358, Aug. 2026, doi: 10.1109/TII.2026.3685163. keywords: {Space exploration;Space technology;Radio broadcasting;Frequency modulation;Radio networks;Field programmable gate arrays;Central Processing Unit;System-on-chip;Integrated circuits;AI accelerators;Edge deployment;energy efficiency;field programmable gate array;neural architecture search (NAS);unmanned aerial vehicle (UAV)}

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