Estimation of NLoS Time-Variant Multipath for Localization Channel Model in Mobile Radios

Kurzfassung

Time Based (TB) localization in terrestrial mobile radios as a complementation to Global Navigation Satellite Systems has gained plenty of interests recently. As an essential tool to develop suitable algorithms for joint communications and localizations in mobile radio networks, the wireless channel model has a growing significance. For both communications and localizations, the time evolution of multipath components is essential especially for tracking applications. Moreover, the non line-of-sight error due to undetectable line-of-sight path introduces additional range error for TB localizations, which needs to be taken into account in the channel model. In this paper we present a space-alternating generalized expectation-maximization based Kalman filter method to efficiently estimate and model the time-variant multipath components based on a channel measurement campaign.