公开(公告)号：US11630996B1

公开(公告)日：2023-04-18

申请号：US16017396

申请日：2018-06-25

Applicant: Virginia Tech Intellectual Properties, Inc.

Inventor： Timothy James O'Shea ,  Tamoghna Roy

IPC: G06N3/08 ,  H04B1/16

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned classification of radio frequency (RF) signals. One of the methods includes obtaining input data corresponding to the RF spectrum; segmenting the input data into one or more samples; and for each sample of the one or more samples: obtaining information included in the sample, comparing the information to one or more labeled signal classes that are known to the machine-learning network, using results of the comparison, determining whether the information corresponds to the one or more labeled signal classes, and in response, matching, using an identification policy of a plurality of policies available to the machine-learning network, the information to a class of the one or more labeled signal classes, and providing an output that identifies an information signal corresponding to the class matching the information obtained from the sample.