Identifying transponder hardware or waveform in wireless network via machine learning module
AssigneeAndro Computational Solutions, LLC
InventorsAnu Jagannath, Jithin Jagannath, Andrew Louis Drozd
Life of this patent
Estimating the term…
Loading patent…
AssigneeAndro Computational Solutions, LLC
InventorsAnu Jagannath, Jithin Jagannath, Andrew Louis Drozd
Estimating the term…
The disclosure provides processes to generate an identification tag for a transponder in a wireless network via a machine learning module. Methods of the disclosure include capturing, via a wireless receiver within a wireless network, a plurality of time-domain communication samples of a transponder operating within the wireless network. A multi-dimensional tensor is generated, indicating a plurality of features of the time-domain communication samples of the transponder. A machine learning module converts the multi-dimensional tensor into a one-dimensional feature vector indicating the plurality of features of the time-domain communication samples. The machine learning module extracts a hardware identification feature for the transponder from the one-dimensional feature vector. The machine learning module includes: an embedding component for extracting the one-dimensional feature vector from a multi-dimensional tensor indicating a set of hardware intrinsic features; or an attentional component for deducing a hardware signature from the one-dimensional feature vector.
A method comprising:
A method comprising:
A method comprising:
Dependencies are inferred from the claim text.