Comparison of measurement-based and simulation-based indoor Wi-Fi positioning algorithms

With the spreading of Wi-Fi networks, new services are provided. In particular, Wi-Fi networks can be used to locate mobile terminals based on measurements. In this paper, we propose a hybrid positioning model based on signal strength measurements and a probabilistic positioning system based on pre-computed signal strength map. Both models are tested in various environments and data sets and compared to well-known approaches, including fingerprinting.

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