This thesis report investigates how good position estimations that can be done outdoors with received signal strength indication (RSSI) trilateration for sub 1-GHz radio nodes. A custom network and an empirical distance model have been created as well as a technique for weighting multiple distance estimations, using wrapped normal probability density functions. The developed localization system was tested on an open area of one square kilometer, to estimate a node’s position on various locations. To evaluate the localization system, mean and median error of the estimated positions were calculated.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-141689 |
| Date | January 2017 |
| Creators | Karlsson, Tom, Persson, Mike |
| Publisher | Linköpings universitet, Fysik och elektroteknik, Linköpings universitet, Tekniska fakulteten, Linköpings universitet, Fysik och elektroteknik, Linköpings universitet, Tekniska fakulteten |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.011 seconds