dc.contributor.advisor | Midtbø, Terje | |
dc.contributor.advisor | Solheim, Bendik | |
dc.contributor.advisor | Edwin, Snorre | |
dc.contributor.author | Bråten, Håkon | |
dc.date.accessioned | 2019-09-11T08:15:39Z | |
dc.date.created | 2016-06-09 | |
dc.date.issued | 2016 | |
dc.identifier | ntnudaim:14847 | |
dc.identifier.uri | http://hdl.handle.net/11250/2614721 | |
dc.description.abstract | As GNSS is not accurate enough for indoor use, several systems using alternative
technologies for indoor positioning have been developed. Most prominent are the
systems based on Wi-Fi. These rely on the strength of the Wi-Fi signals to
determine the position of the user, either by using trilateration or by
comparing to previously collected data. Using these techniques they provide
accuracy enough for navigation, but access points are expensive and prone to
changes in the environment. This thesis investigates whether using Bluetooth
beacons with Bluetooth Low Energy is a viable alternative to Wi-Fi positioning.
This is done by studying the properties of Bluetooth signals, the effect of
different environments and the accuracy achieved using several methods for
estimating distance and position. Tests are performed to determine parameters of
the logarithmic distance model and it's results are compared to a model which is
independent of the environment. The method of DARL is compared to trilateration
for determining a position from several distance estimations. Finally, using the
earlier results, tests are done to determine the accuracy one can expect in a
corridor using two different beacon configurations.
The strength of Bluetooth signals proved to be relatively stable up to a minute,
but variations on a larger scale made it difficult to accurately determine the
path loss exponent in the logarithmic distance model. This inaccuracy is
probably what led to the two distance models performing approximately equal.
DARL consistently provided more accurate position estimates than trilateration,
most likely as a result of heavily favoring nearby beacons to those further
away.
Using map matching in a corridor, average errors as low as 0.8 meters in the
lengthwise direction were achieved using eight beacons to cover 16 meters of the
corridor. The implication of this result is discussed with regards to an indoor
positioning system. Further works should be aimed at reducing long term
fluctuations in the received signal strength. | en |
dc.language | eng | |
dc.publisher | NTNU | |
dc.subject | Ingeniørvitenskap og IKT, Geomatikk | en |
dc.title | Indoor positioning using Bluetooth | en |
dc.type | Master thesis | en |
dc.source.pagenumber | 74 | |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap,Institutt for bygg- og miljøteknikk | nb_NO |
dc.date.embargoenddate | 10000-01-01 | |