Indoor localization of unmanned aerial vehicles based on RSSI
Date Issued
2017-07-06
Author(s)
Risteska Stojkoska, Biljana
Palikrushev, Jordan
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.
(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.
Subjects
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