A Hybrid Neural Network-Data Base Correlation Positioning in GSM Network

Mobile terminal (MT) localization in a GSM environment has been of big interest in the recent years. This work exploits the advantage of position estimations from different sources in a robust fusion algorithm to reduce the positioning error. A hybrid neural network (NN)-data base correlation method (DC) is discussed. Before the fusion process, the DC position estimates are post-processed using an extra NN in order to reduce its error. Function approximation and classification properties of the NN will be investigated and the best NN architecture will be applied in the positioning algorithm. Results show that, the post processing of the DC results has a big impact on the positioning accuracy and the fusion process gets the MT estimate within a better accuracy

[1]  Gerald P. Roston,et al.  Dead Reckoning Navigation For Walking Robots , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Sonya A. H. McMullen,et al.  Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) , 2004 .

[3]  Thomas Kürner,et al.  Prediction of outdoor and outdoor-to-indoor coverage in urban areas at 1.8 GHz , 2002, IEEE J. Sel. Areas Commun..

[4]  K. Kyamakya,et al.  LOCATION FINGERPRINTING IN GSM NETWORK AND IMPACT OF DATA PRE-PROCESSING , 2006 .

[5]  S. Ahonen,et al.  Database correlation method for UMTS location , 2001, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[6]  Tomoyoshi Oono,et al.  Position location technologies using signal strength in cellular systems , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[7]  D. L. Hall,et al.  Mathematical Techniques in Multisensor Data Fusion , 1992 .

[8]  H. Laitinen,et al.  Database correlation method for GSM location , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[9]  Kyandoghere Kyamakya,et al.  Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[10]  Kyandoghere Kyamakya,et al.  Fusion of Neural Network positioning and Database Correlation in localizing a Mobile Terminal , 2006, ICWN.

[11]  Zoran A. Salcic,et al.  Mobile Station Positioning Using GSM Cellular Phone and Artificial Neural Networks , 2000, Wirel. Pers. Commun..

[12]  Henk L. Muller,et al.  Personal position measurement using dead reckoning , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..