Performance of Fingerprinting-Based Indoor Positioning with Measured and Simulated RSSI Reference Maps

Numerous indoor positioning technologies and systems have been proposed to localize people objects in large buildings. Wi-Fi Bluetooth using fingerprinting gained popularity, due the wide availability of existing infrastructure. Unfortunately, implementation fingerprinting-based methods requires time-consuming radio surveys prepare databases (RSSI maps) that serve as a reference for signal. These must be conducted each individual building. Here, we investigate possibility simulated RSSI maps with localization systems. We discuss suitability two popular wave propagation models preparation data: ray tracing multiwall. Based on an analysis several representative scenarios, evaluated performance distribution obtained from simulations versus measurement campaigns. An experimental system developed by authors was used study. Low Energy beacons mobile devices (smartphones), uses followed particle filter algorithm estimate user’s current position measurements spatial database beacon The novelty our contribution is evaluate prepared both most methods, three different environments terms structure size. compared not only maps, but also how they influence fingerprint-based algorithm. Our original findings important implications development may reduce deployment times replacing computer simulations. Replacing labor-intensive process building modeling significantly increase their usefulness ease adaptation real environments.