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We introduce in this paper two main approaches, Triangulateration (TL) and Angle-Difference-of-Arrival (ADoA) for indoor localization and mapping using single-anchor and millimeter wave (MMW) propagation characteristics. Then, we perform context inference through obstacle localization. To do so, we first include and estimate the positions of virtual anchor nodes (VANs), known as mirrors of the real...
The availability of location information has become a key factor in today’s communications systems allowing location based services. In outdoor scenarios, the mobile terminal position is obtained with high accuracy thanks to the global positioning system (GPS) or to the standalone cellular systems. However, the main problem of GPS and cellular systems resides in the indoor environment and in scenarios...
In this paper, we propose a novel positioning algorithm based on hybrid cooperative techniques. The proposed algorithm is divided into two main categories: initial positioning and tracking. After acquiring an estimate about the distances of an un-located mobile terminal (UMT) by measuring the Received Signal Strength (RSS) and Time of Arrival (ToA), we obtain initial position for an UMT via triangulations...
This paper investigates and presents the results of hybrid localization techniques in heterogeneous networks with lack of hearability scenarios. In this contribution, we generalize the work presented in [1] and [2] by investigating the limits of their combination but also the limits of the minimal number of anchor nodes (AN) used for hybrid positioning. The focus is on two scenarios: the small indoor...
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