Indoor localization of unmanned aerial vehicles based on RSSI
Date Issued
2017-07-06
Author(s)
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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