Indoor Location Systems based on ZigBee networks
Gutierrez Pascual, Maria Deseada (2012)
Gutierrez Pascual, Maria Deseada
Mikkelin ammattikorkeakoulu
2012
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201205208908
https://urn.fi/URN:NBN:fi:amk-201205208908
Tiivistelmä
In the last few years, Indoor Location Systems have been a major investigation branch in the Research and Development area. They got an special importance after the popularization of GPS which allows Outdoor Location with an accurate precision.
However, GPS is not operative inside buildings where mostly human activities occur, as there is no direct line-of-sight between the antenna and satellites, the signals suffer from
reflections, scattering and diffractions.
The aim of this thesis is to implement an Indoor Location System able to locate a person inside a room, flat or building. Moreover, the ILS must be a low cost and low
consumption system so that it can be a considered market option. It also should be open-hardware and open-source and easy to install what will make the project to be spreaded and improved.
For this goal, the project has two different branches of research: low consumption and low cost hardware.
This ILS has been implemented using RSSI information. Basing it only on RSSI values from one slave will give too much incertainty, due to reflections and diffractions. In this
project we have improved the precision using trilateration with three slaves. Moreover,
accurating the RSSI measurements from each slave have been done taking multiple samples in consecutive moments and using statistics models to processing them.
In addition, fingerprinting has been implemented with a database where some measurements will be added, so that errors made by attenuations or wall absorption can
be compensated.
However, GPS is not operative inside buildings where mostly human activities occur, as there is no direct line-of-sight between the antenna and satellites, the signals suffer from
reflections, scattering and diffractions.
The aim of this thesis is to implement an Indoor Location System able to locate a person inside a room, flat or building. Moreover, the ILS must be a low cost and low
consumption system so that it can be a considered market option. It also should be open-hardware and open-source and easy to install what will make the project to be spreaded and improved.
For this goal, the project has two different branches of research: low consumption and low cost hardware.
This ILS has been implemented using RSSI information. Basing it only on RSSI values from one slave will give too much incertainty, due to reflections and diffractions. In this
project we have improved the precision using trilateration with three slaves. Moreover,
accurating the RSSI measurements from each slave have been done taking multiple samples in consecutive moments and using statistics models to processing them.
In addition, fingerprinting has been implemented with a database where some measurements will be added, so that errors made by attenuations or wall absorption can
be compensated.