Motion detection and classification using ambient wireless signals
US11675066B2 · kind B2 · utility
1Cited by
2References
10Claims
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Key dates
| Filing date | Aug 7, 2020 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Apr 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S13/56
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system for using radio frequency (RF) communication signals to extract situational awareness information thorough deep learning. Pre-processing is performed to maximally preserve discriminating features in spatial, temporal and frequency domains. A specially designed neural network architecture is used for handling complex RF signals and extracting spatial, temporal and frequency domain information. Data collection and training is used so that the learning system desensitizes from features orthogonal to the underlying classification problem.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.