Categorizing radio signals while obfuscating characteristics of federal radio signals
US10133987B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 14, 2014 |
| Grant date | Nov 20, 2018 |
| Priority date | — |
| Expiry date | Jan 27, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L1/245
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for categorizing signals sensed from receivers into one of a plurality of categories using a machine learning component that obfuscates other characteristics of the signals beyond the categorization of the signal. A set of training signals is generated that includes signals representative of each of a plurality of categories of signals. A machine learning component is trained using the set of training signals so that the machine learning technique can categorize new signals into one of the plurality of categories. The machine learning component is transmitted to one or more receivers so that each receiver can categorize sensed signals into one of the plurality of categories using the machine learning component while obfuscating other characteristics of the sensed signals.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.