The use of GPS has seen a dramatic rise in location-based services for mobile phones and computers and has helped unlock the potential for business to serve location-relevant content to users.
In GPS-like WiFi technology, APs can work as “GPS satellites” to provide coordinate information to mobile devices. However this approach faces the problem of non-line-of-sight (NLOS) conditions in indoor and urban environments where the signal is blocked by obstructions such as walls, elevators, buildings, etc.
The research team at Etisalat BT Innovation Center (EBTIC) discovered a way to more accurately identify NLOS conditions by enhancing how wireless receivers distinguish between conditions when signals arrive from “line of sight” paths versus “non-line of sight” paths. The algorithm first interprets the signal to make a determination whether the characteristics of the signal exhibits a behavior of a NLOS condition (i.e., behind obstacles such as indoor walls or barriers). After making this determination, the receiver then applies a unique method of processing the signal to more accurately estimate the position of the mobile device.