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Mobile terminal location estimation using Support Vector Machines

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2 Author(s)
David Xuereb ; Communications and Computer Engineering, University of Malta, Msida, 2080, Italy ; Carl James Debono

Mobile technology advancements and customer demands have pushed mobile operators to develop services which are based on user position. These applications require accurate location estimation which must be achieved through information that is available on the network. The procedure adopted in the proposed solution is based on Cell-ID and received signal strength measurements, which are both available to 3G mobile handsets. The collected information is transmitted to a server and fed to two Support Vector Machines (SVM) connected in cascade to infer location estimation. Simulation results show that the proposed method manages to achieve good accuracies when compared to similar solutions based on received signal strength measurements.

Published in:

Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on

Date of Conference:

3-5 March 2010