On the applicability of multi-wall multi-floor propagation models to WiFi fingerprinting indoor positioning

Virtual fingerprints have been proposed in the context of WiFi Fingerprinting Indoor Positioning systems in order to reduce the effort dedicated to offline measurements. In this work, the use of Multi-Wall Multi-Floor indoor propagation models to generate such virtual fingerprints is investigated. Experimental results show that different trade-offs can be obtained between model accuracy and measurement efforts and that good accuracy can be guaranteed while significantly reducing the complexity of the offline measurement phase.