A Statistical analysis on the system performance of a bluetooth low energy indoor positioning system in a 3D environment

A Statistical analysis on the system performance of a bluetooth low energy indoor positioning system in a 3D environment

Haagmans, G. G.
Verhagen, S. (TU Delft Mathematical Geodesy and Positioning)
Voûte, R.L. (TU Delft OLD Department of GIS Technology; TU Delft OLD Urban Design)
Verbree, E. (TU Delft OLD Department of GIS Technology)

2017

Since GPS tends to fail for indoor positioning purposes, alternative methods like indoor positioning systems (IPS) based on Bluetooth low energy (BLE) are developing rapidly. Generally, IPS are deployed in environments covered with obstacles such as furniture, walls, people and electronics influencing the signal propagation. The major factor influencing the system performance and to acquire optimal positioning results is the geometry of the beacons. The geometry of the beacons is limited to the available infrastructure that can be deployed (number of beacons, basestations and tags), which leads to the following challenge: Given a limited number of beacons, where should they be placed in a specified indoor environment, such that the geometry contributes to optimal positioning results? This paper aims to propose a statistical model that is able to select the optimal configuration that satisfies the user requirements in terms of precision. The model requires the definition of a chosen 3D space (in our case 7 × 10 × 6 meter), number of beacons, possible user tag locations and a performance threshold (e.g. required precision). For any given set of beacon and receiver locations, the precision, internal-and external reliability can be determined on forehand. As validation, the modeled precision has been compared with observed precision results. The measurements have been performed with an IPS of BlooLoc at a chosen set of user tag locations for a given geometric configuration. Eventually, the model is able to select the optimal geometric configuration out of millions of possible configurations based on a performance threshold (e.g. required precision).

3D space
Bluetooth low energy
Indoor positioning system
optimal configuration
precision
system performance
theoretical design computations

http://resolver.tudelft.nl/uuid:f7646f3b-9a99-4207-97a6-20ef83c6a571

https://doi.org/10.5194/isprs-annals-IV-2-W4-319-2017

ISPRS

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W4

ISPRS Geospatial Week 2017, 2017-09-18 → 2017-09-22, Wuhan, China

Institutional Repository

conference paper

© 2017 G. G. Haagmans, S. Verhagen, R.L. Voûte, E. Verbree