The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 05, 2022
Filed:
Aug. 13, 2019
Bae Systems Information and Electronic Systems Integration Inc., Nashua, NH (US);
Scott A Kuzdeba, Framingham, MA (US);
Amit Bhatia, Apex, NC (US);
David J. Couto, Pepperell, MA (US);
Denis Garagic, Wayland, MA (US);
John A. Tranquilli, Jr., Amherst, NH (US);
BAE Systems Information and Electronic Systems Integration Inc., Nashua, NH (US);
Abstract
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.