Claude Mbusa Takenga

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With growth of world wide cellular connections, localization within cellular network will play a central role in enabling value-added services. This is a huge revenue opportunity for mobile operators. Existing location techniques have poor performance in urban and indoor environments due to severe multipath and NLOS propagations, which are significant for(More)
– Determining the position of mobile users in GSM networks has become more and more important. Such services as emergency calls and other location dependent services have been of great importance in the last years. A key factor for the success of any localization technology is its accuracy. This work is focused on localization in a dense urban scenario or(More)
Mobile phone location activities have been intensified recently. This work will examine the possibility of combining the Neural Network (NN) positioning and the database correlation (DC) localization system in order to realize a robust RSS based positioning system within a GSM network context. The NN is trained first offline before it use in the positioning(More)
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