RF fingerprint enhancement by manipulation of an abstracted digital signal
US11378646B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 13, 2019 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Dec 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.