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The knowledge of the radar signature of aerial targets, such as drones, iscritical in designing an effective radar detection system. It is a challengingtask to measure the radar cross-section (RCS) of small drones. This paperdescribes a compact-range approach for measuring the RCS of small drones at 15GHz and 25 GHz. The measurement results show that the average RCS of the threesmall drones varies with the radar frequency with higher reflections observedaround certain directions. Moreover, the results show that for each drone, theRCS at 25 GHz is higher than the RCS at 15 GHz. Besides,information-theoretical based model selection for the RCS data is carried usingthe Akaike information criterion (AIC). We find that the generalized extremevalue distribution is a good fit for modeling the RCS of small drones.

Compact-Range RCS Measurements and Modeling of Small Drones at 15 GHz and 25 GHz