Boosting Indoor Localization and Identification Speed Using Reflection Map Construction

This paper proposes an indoor localization strategy that utilizes fixed reflector points. The strategy assumes the presence of a base station (BS) with a known location, equipped with Angle of Arrival (AoA) and Time of Arrival (ToA) measurement capabilities. The localization process comprises two stages. In the initial stage, a systematic environmental scan identifies reflector points, facilitating the creation of a detailed map of their locations. Next, to achieve precise localization, a maximization problem is formulated. For each candidate location, the method assesses the likelihood of a set of measurements to the reflectors map. This approach accelerates user localization compared to fingerprint search algorithms. Simulation results provide compelling evidence for the effectiveness of this strategy in speeding up data gathering in the localization procedure.