Subject: indoor localization; positioning; unmanned aerial vehicle; multidimensional scaling; weighted centroid
Year: 2017
Type: Proceeding article
Title: Indoor localization of unmanned aerial vehicles based on RSSI
Author: Trivodaliev, Kire
Author: Risteska Stojkoska, Biljana
Author: Palikrushev, Jordan
Author: Kalajdziski, Slobodan
Abstract: Nowadays, finding the Unmanned Aerial Vehicle (UAV) position in the absence of GPS is attractive and challenging problem in the research community. In this paper, we present a novel algorithm for mini UAV indoor localization based on distance measurements between the UAV and the existing infrastructure consisting of WiFi Access Points. Our algorithm uses two well-known techniques from the literature: Multi-dimensional Scaling (MDS) and Weighted Centroid Localization (WCL). Through extensive simulations we have shown that our algorithm is very suitable for indoor localization of mini UAVs. For small radio-range error, our algorithm exhibits a small localization error of less than 5% of the radio range.
Publisher: IEEE
Relation: IEEE EUROCON 2017-17th International Conference on Smart Technologies
Identifier: oai:repository.ukim.mk:20.500.12188/20419
Identifier: http://hdl.handle.net/20.500.12188/20419
