Abstract-Determining the position and velocity of mobiles is an important issue for hierarchical cellular networks since the efficient allocation of mobiles to large or microcells depends on its present velocity. In this paper, we suggest a method of tracing a mobile by evaluating subsequent signal-strength measurements to different base stations. The required data are available in the global system for mobile (GSM) system. The basic idea resembles multidimensional scaling (MDS), a well-recognized method in statistical data analysis. Furthermore, the raw data are smoothed by a linear regression setup that simultaneously yields an elegant, smoothed estimator of the mobile's speed. The method is extensively tested for data generated by the simulation tool GOOSE.
Abstracr-Accurate hation tracking of mobde stations in cellular radio networks is of tremendous interest for many applications. In this work, we analyze the performance of a speed and location tracking algorithm using data from a field trial. The algorithm fits received signal strengths of surrounding base stations to componding predictions. These raw location estimates, in GSM available each O M S , are subsequently smoothed by a model-based Kalman lilter. An essential ingredient of our method is to h d suitable initial parameters.The method is tested with measurement data from a field trial by Siemens. Although the field strength prediction method is rather simple, the location algorithm itself yields promising results. Typical average deviations from the true positions were 173.5m for indoor, 117.7111 for walking, and 104.9111 for driving scenarios. This shows that the method is robust against moderate errors in the prrdiction model and leads to good results in a real GSM network.
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