Modeling of Continuous Fields: Coverage Mapping Based on Dynamic In-situ WLAN Measurements
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Abstract
Various authors have investigated different approaches to modeling of EM (Electro-Magnetic) field maps, for the purpose of WLAN (Wireless Local Area Network) positioning. However, none of them considers coverage mapping based on dynamic WLAN measurements, taking surrounding mobile objects’ positions into account. This research introduces a method for reference point measurements identification, out of dynamic in-sit measurements, which are enabled by spatio-temporal filter strategies. Furthermore, it proposes a spatial database model for processing and storage of EM field maps. The paper starts with a revision of theoretical concepts and methods of wireless network positioning metrics and field modeling approaches. Available data sources of static and dynamic characteristic will be evaluated and modeled for the use in a GIS (Geographical Information System) storage and processing framework. Based on this data, deterministic and probabilistic field modeling approaches have been implemented and qualified against a measurement reference track. These tests have shown that Ordinary Kriging is best suitable for EM field modeling in non-obstacle free environments. These findings provide an excellent starting point for spatio-temporal field modeling.
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How to Cite
J., K. (2013). Modeling of Continuous Fields: Coverage Mapping Based on Dynamic In-situ WLAN Measurements. International Journal of Geoinformatics, 9(2). https://doi.org/10.52939/ijg.v9i2.144
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