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Wireless Positioning Based on a Segment-Wise Linear Approach for Modeling the Target Trajectory

Positioning solutions in infrastructure-based wireless networks generally operate by exploiting the channel information of the links between the Wireless Devices and fixed networking Access Points. The major challenge of such solutions is the modeling of both the noise properties of the channel measurements and the user mobility patterns. One class of typical human being movement patterns is the segment-wise linear approach, which is studied in this paper. Current tracking solutions, such as the Constant Velocity model, hardly handle such segment-wise linear patterns. In this paper we propose a segment-wise linear model, called the Drifting Points model. The model results in an increased performance when compared with traditional solutions.