Indoor Positioning System
| dc.contributor.advisor | Tarapiah , Saed | |
| dc.contributor.author | Samara, Anwar | |
| dc.contributor.author | Hala, Sayegh | |
| dc.contributor.author | Rawan, Othman | |
| dc.date.accessioned | 2018-01-29T10:20:33Z | |
| dc.date.available | 2018-01-29T10:20:33Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | In the age of automation the ability to navigate persons and devices in indoor environments has become increasingly important for a rising number of applications .The purpose of our project is to locate people or objects inside buildings, typically via a mobile device such as a smart phone or tablet, in places like shopping malls, hospitals, airports and other indoor venues where navigation and other location-based services (LBS) can prove to be indispensable.. The project compares between RSS algorithm and AoA using music algorithm to solve the multipath problem like combination of different reflected, time delayed and attenuated signals arriving at the antenna., based on four USRs and four Routers in four corners of the floor, based on the received signal at the routers and USRS from the mobile, we can determine the location. The user has an android application to tell him approximately where he is.By using matlab we can determine location based on AOA from router to mobile. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/13099 | |
| dc.language.iso | en_US | en_US |
| dc.title | Indoor Positioning System | en_US |
| dc.type | Graduation Project | en_US |