Analyzing a particular wireless signal based on characteristics of other wireless signals
US9467893B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 18, 2016 |
| Grant date | Oct 11, 2016 |
| Priority date | — |
| Expiry date | Apr 18, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W84/12
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure discloses a system and method for classifying Wi-Fi signals from Fourier transform samples. Generally, classifying Wi-Fi signals from Fourier transform samples includes: collecting and dividing Fourier transform samples into frequency blocks; determining the bandwidth for the Fourier transform sample; and determining whether the Fourier transform sample corresponds to a narrowband signal. Further, if a determination is made that the Fourier transform sample does not correspond to a narrowband signal, channel utilization is calculated based on a determination that the FFT sample corresponds to a Wi-Fi signal. If it is determined that the Fourier transform sample corresponds to a narrowband signal, then a determination is made that the FFT sample corresponds to a Wi-Fi signal based on certain criteria. The certain criteria may include one or more of a slope value, a number of sub-peak bins, an analysis of adjacent channels, characteristic matching, or other criteria.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.