International Business Machines Corporation
Transmitter identification based on machine learning

Last updated:

Abstract:

Systems and methods for identifying a device are described. In an example, a processor can receive a first signal having a first waveform encoding data. The processor can extract the data from the first signal. The processor can determine a transformation being used to encode the data in the first waveform. The processor can generate a second signal using the determined transformation to encode the data in a second waveform. The processor can determine a difference between the first waveform and the second waveform. The processor can identify a device as a candidate device that sent the first signal, based on the determined difference.

Status:
Grant
Type:

Utility

Filling date:

31 Mar 2020

Issue date:

13 Sep 2022