Energy-efficient localization of wireless devices in contained environments
US12326494B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2022 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Mar 29, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/80
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Aspects of the present invention provide systems and methods for distributed signal processing of indoor localization signals wherein statistical algorithms and machine learning are used in place of a fingerprint map. The disclosure relates to calculation of angle and distance based on measurements of an indoor localization signal, followed by energy-efficient distribution of signal processing. Local signal processing is performed using any of multiple eigen structure algorithms or a linear probabilistic inference, before cloud-based signal processing is performed using a nonlinear probabilistic inference and machine learning that's been trained with historical data transmitted by the base stations and time-of-day location patterns. Without having to generate and constantly update an energy-exorbitant fingerprint map, the disclosed system reduces localization error to merely 50 cm with 95% probability without compromising energy-efficiency to rival the accuracy of indoor localization systems that utilize fingerprinting.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.