TAILIEUCHUNG - Experimental assessment of a novel geolocation algorithm based on OTDOA technique in real umts networks

Time Difference of Arrival (OTDOA) technique in order to estimate both the position of the different User Equipments (UEs) and the Relative Time Differences (RTDs) between Node Bs in real UMTS networks from measurements reports providing the TM parameter and the locations of the sites. | Journal of Automation and Control Engineering Vol. 3, No. 5, October 2015 Experimental Assessment of a Novel Geolocation Algorithm Based on OTDOA Technique in Real UMTS Networks Juan Antonio García-Fernández, Antonio Jurado-Navas, and Mariano Fernández-Navarro Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain Email: {jagf, navas, mariano}@ Carlos Úbeda Ericsson E-28033, Madrid, Spain Email: Abstract—In this paper, we propose a new tool based on Observed Time Difference of Arrival (OTDOA) technique in order to estimate both the position of the different User Equipments (UEs) and the Relative Time Differences (RTDs) between Node Bs in real UMTS networks from measurements reports providing the TM parameter and the locations of the sites. This technique results in a non-linear least squares estimation problem which is solved by employing an iterative method based on the LevenbergMarquardt (LM) algorithm and taking advantage of a particular and frequently found spatial geometry of sites: the star configuration. Modifications proposed in this paper increase its inherent accuracy while maintaining a reduced computational complexity, a fast convergence and a high robustness. Obtained results employing real data from various drive tests measured in different locations are compared with the performance of a standard LM algorithm run on these same measurements. We show that remarkably high geolocation and RTD accuracy is achieved considering only filtered events beforehand. Index Terms—Levenberg-Marquardt, measurements reports, geolocation, TDOA, UMTS, nonlinear system of equations, RTD I. INTRODUCTION In the Third Generation (3G) mobile communication systems, geolocation of the User Equipments (UEs) plays an essential role for Location Based Services (LBS) [1] and Location Assisted Network Management (LANM) such as Location-Aided Handover (LAH) [2]. In the last few years, many efforts have been .

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