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Hybrid Unified Kalman Tracking Algorithms for Heterogeneous Wireless Location Systems
2012
IEEE Transactions on Vehicular Technology
Location estimation and tracking for mobile stations have attracted a significant amount of attention in recent years. Different types of signal sources are considered available to provide measurement inputs for location estimation and tracking in heterogeneous wireless networks. Various techniques have been studied and combined for location tracking, e.g., the least square methods for location estimation associated with the Kalman filters for location tracking. In this paper, the hybrid
doi:10.1109/tvt.2011.2180939
fatcat:tlvyad4mkref7e6esnoubjkkma