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This paper describes RF-based detection of un-manned aerial systems (UAS) without using transmit signals. The proposed scheme uses a sensitive magnetometer and digital signal processing algorithm to enable robust detection of high-torque/weig h t ratio rare earth magnet-based electric motors that are the enabling technology in electrical UAS. Preliminary experimental results with a 1 m^2 receive coil show reliable detection of a small UAS at distances of several meters. 

Abstract Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose the novel concept of material biometrics , in which the intrinsic chemical properties of structural materials are used to generate unique identifiers for authenticating individual products. For this purpose, the objects to be protected are modified via programmable additive manufacturing of built-in chemical “tags” that generate signatures depending on their chemical composition, quantity, and location. We report a material biometrics-enabled manufacturing flow in which plastic objects are protected using spatially-distributed tags that are optically invisible and difficult to clone. The resulting multi-bit signatures have high entropy and can be non-invasively detected for product authentication using $$^{35}$$ 35 Cl nuclear quadrupole resonance (NQR) spectroscopy.