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While the static indoor location of a Mobile Terminal (MT) has been extensively studied on last decade, the prediction of the trajectory of a MT still is the major problem for building mobile location (Tracking) Systems (TSs). This problem is solved for outdoor TSs using Global Positioning System (GPS), however, it remains an essential obstacle to construct reliable indoor TSs. Different approaches were proposed in the literature, the most used is that based on prediction filters, such as Linear Filters (LF), Kalman Filters (KF) and Particle Filters (PF).
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