Scalable real-time location detection based on overlapping neural networks
US9282429B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2014 |
| Grant date | Mar 8, 2016 |
| Priority date | — |
| Expiry date | May 2, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for real-time location detection consists of three groups of components. Mobile subjects to be tracked are equipped with wireless transceivers capable of sending and optionally for receiving data over pre-determined radio frequency (RF) band(s). Router/base station access point devices are equipped with wireless transceivers capable of sending and receiving data over pre-determined radio frequency (RF) band(s) in order to communicate with mobile units. Routers are combined into specific overlapping router groups, with each group forming a spatial sub-network. System central processing and command station(s) perform data processing and implementation of computational models that determine the mobile unit location. System deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.