Big-data-mining-based wireless channel modeling method
US9906963B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 25, 2017 |
| Grant date | Feb 27, 2018 |
| Priority date | — |
| Expiry date | May 25, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a big-data-mining-based wireless channel modeling method comprising: obtaining image information of a measurement environment and a channel impulse response data sample under a preset condition; obtaining at least one multipath wave and a channel parameter of each of the multipath wave according to the channel impulse response data sample using a channel parameter estimation algorithm; and clustering the at least one multipath wave according to the channel parameter of each of the multipath wave using a clustering algorithm to obtain at least one cluster; obtaining at least one scattering object in the measurement environment according to the image information of the measurement environment; matching each of the cluster with each of the scattering object to obtain a cluster kernel which is a cluster matching with the scattering object; establishing, a base wireless channel model under the preset condition according to all of the cluster kernel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.