Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Mobile phone location determination and its impact on intelligent transportation systems
IEEE Transactions on Intelligent Transportation Systems
Defining 4G technology from the users perspective
IEEE Network: The Magazine of Global Internetworking
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Positioning information enables new applications for cellular phones, personal communication systems, and specialized mobile radios. The network heterogeneity emerging in the fourth generation (4G) of mobile networks can be utilized for enhancements of the location estimation accuracy. In this paper, we propose a method to perform the localization in a system based on the coexistence of the cellular and the ad-hoc links. The main contribution of this paper is the implementation and evaluation of an Extended Kalman Filter, which merges two available domains of measurements: the time difference of arrival and the received signal strength, respectively retrieved from the long- and the short-range segments. The simulation results show that the proposed localization system outperforms a stand-alone cellular system in the considered scenarios.