Future and emerging indoor localization systems will rely on multiple different sensor systems to estimate the position of a device, such as accelerometers and radios available on smartphones. MINT uses a maximum of position-related Information embedded in a radio signal. Not only the direct signal path between an anchor (the infrastructure) and the mobile, but also deterministic reflections caused by building elements can be exploited. As a consequence, less infrastructure is needed: A single base station can already allow for centimeter-level localization. The uncertainty of the information contained in the reflected signals is learned automatically, which is needed for optimally processing the available information. With our real-time demonstration system of MINT, we consistently achieve accuracies better than 5cm, i.e. robust and accurate indoor localization is provided.
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