Transmitter identification based on machine learning

A system comprising:

• a receiver configured to receive a first signal from a transmitting device, the first signal having a first waveform encoding data representing a bit vector;
• a device configured to be in communication with the receiver, the device being configured to:
• demodulate the first signal to extract the bit vector from the first signal;
• determine a transformation being used to encode the data in the first waveform;
• generate a second signal using the determined transformation to encode the extracted bit vector in a second waveform, wherein the generated second signal is an attempt to reconstruct the first signal;
• determine a difference between the first waveform and the second waveform;
• and
• identify the transmitting device based on the determined difference.

A computer program product for identifying a device, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing element of a device to cause the device to:

• receive a first signal having a first waveform encoding data representing a bit vector;
• demodulate the first signal to extract the bit vector from the first signal;
• determine a transformation being used to encode the data in the first waveform;
• generate a second signal using the determined transformation to encode the extracted bit vector in a second waveform, wherein the generated second signal is an attempt to reconstruct the first signal;
• determine a difference between the first waveform and the second waveform;
• and
• identify a device as a candidate device that sent the first signal, based on the determined difference.