Method, apparatus, and system for wireless sensing based on deep learning
US12352889B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 1, 2024 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 1, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L5/0048
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods, apparatus and systems for wireless sensing based on deep learning are described. For example, a described method comprises: transmitting a wireless signal through a wireless multipath channel of a venue, wherein the wireless multipath channel is impacted by a motion of an object in the venue; receiving the wireless signal through the wireless multipath channel of the venue, wherein the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel and the motion of the object; obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the received wireless signal; computing a plurality of autocorrelation functions based on the TSCI, each autocorrelation function (ACF) computed based on CI of the TSCI in a respective sliding time window; constructing at least one ACF vector, wherein each respective ACF vector is a vector associated with a respective ACF comprising multiple vector elements each associated with a respective time lag, each vector element being a value of the respective ACF evaluated at the respective time lag; rearranging the at least one ACF vector into rearranged ACF data, whe…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.