Unsupervised learning for simultaneous localization and mapping in deep neural networks using channel state information
US12200660B2 · kind B2 · utility
1Cited by
1References
19Claims
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Key dates
| Filing date | Aug 30, 2021 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jun 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.