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AssigneeBAE Systems Information and Electronic Systems Integration Inc.
InventorsScott A Kuzdeba, Amit Bhatia, David J. Couto, Denis Garagic, John A. Tranquilli, Jr.
Estimating the term…
The discriminability of an RF fingerprint is increased by “abstracting,” “enhancing,” and “reconstructing” a digital signal before it is transmitted, where the abstraction is a reversible nonlinear compression, the enhancement is a modification of the abstracted data, and the reconstruction is a mapping-back of the abstraction. During a training phase, for each individual RF transmitter, RF fingerprints are analyzed and candidate enhancements are modified until a successful enhancement is identified that provides satisfactory discriminability improvement with minimal signal degradation. The successful enhancement is implemented in the RF transmitter, and the RF fingerprint is communicated to receivers for subsequent detection and verification. Reinforcement learning can direct modifications to the candidate enhancements. The abstraction can implement a deep generative model such as an auto-encoder. A covert data enhancement can encode covert data onto the RF fingerprint, whereby the covert data is transmitted covertly to a receiver.
A method of detecting an RF fingerprint of an RF transmission source, the method comprising:
A method of conveying covert data from an RF transmission source to a receiver, the method comprising:
An RF signal source comprising:
An RF signal receiver, comprising:
Dependencies are inferred from the claim text.