Ensembles of indoor positioning systems based on fingerprinting: Simplifying parameter selection and obtaining robust systems

Abstract

Selecting the appropriate parameters for an indoor positioning system may be a difficult task due to the large number of parameter combinations. It is more complex in realistic multi-building multi-floor environments, where severe wrong building and floor errors occur but they are not highlighted in the main evaluation metric. Moreover, a selected parameter configuration, that may seem appropriate in the system validation, may not have the expected behaviour in a real deployment. In order to address these issues, an ensemble of indoor positioning systems is introduced. A base estimator with 2.332 parameter combinations has been used. According to the results, this model simplifies the parameter selection and provides more robust systems.

Cite this article

J. Torres-Sospedra, G. M. Mendoza-Silva, R. Montoliu, O. Belmonte, F. Benitez and J. Huerta, “Ensembles of indoor positioning systems based on fingerprinting: Simplifying parameter selection and obtaining robust systems,” 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016, pp. 1-8, doi: 10.1109/IPIN.2016.7743679.