Radio signal identification, identification system learning, and identifier deployment

dc.contributor.assigneeVirginia Tech Intellectual Properties, Inc.en
dc.contributor.inventorO'Shea, Timothy Jamesen
dc.date.accessed2021-03-23en
dc.date.accessioned2021-03-25T18:15:36Zen
dc.date.available2021-03-25T18:15:36Zen
dc.date.filed2018-04-24en
dc.date.issued2020-05-05en
dc.description.abstractMethods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned identification of radio frequency (RF) signals. One of the methods includes: determining an RF signal configured to be transmitted through an RF band of a communication medium; determining first classification information that is associated with the RF signal, and that includes a representation of a characteristic of the RF signal or a characteristic of an environment in which the RF signal is communicated; using at least one machine-learning network to process the RF signal and generate second classification information as a prediction of the first classification information; calculating a measure of distance between (i) the second classification information that was generated by the at least one machine-learning network, and (ii) the first classification information associated with the RF signal; and updating the at least one machine-learning network based on the measure of distance.en
dc.format.mimetypeapplication/pdfen
dc.identifier.applicationnumber15961465en
dc.identifier.patentnumber10643153en
dc.identifier.urihttp://hdl.handle.net/10919/102799en
dc.identifier.urlhttp://pimg-fpiw.uspto.gov/fdd/53/431/106/0.pdfen
dc.language.isoenen
dc.publisherUnited States Patent and Trademark Officeen
dc.subject.cpcG06N20/00en
dc.subject.cpcG06N3/0454en
dc.subject.cpcG06N3/08en
dc.subject.cpcH04W24/08en
dc.titleRadio signal identification, identification system learning, and identifier deploymenten
dc.typePatenten
dc.type.dcmitypeTexten
dc.type.patenttypeutilityen

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