Time-variant channel modeling with application to mobile radio based positioning

Time based positioning by terrestrial mobile radio as a complement to global navigation satellite systems has gained remarkable attention. As an essential tool to develop suitable algorithms for positioning with mobile radio signals, models of the wireless channel for this application are significant. However, there is still a lack of channel models suitable for positioning applications. In this paper we propose a geometry-based statistical time variant model to validate the accuracy of positioning algorithms. A statistically generated equivalent reflector is used to characterize each single path in the impulse response. Moreover, a model is proposed which accurately models the movement of each equivalent reflector. It is shown that the proposed channel model accurately fits with measurement data.