Location tracking in mobile networks under correlated shadowing effects
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Non-interactive localization of cognitive radios based on dynamic signal strength mapping
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
IEEE Transactions on Wireless Communications
Spatio-temporal fusion for small-scale primary detection in cognitive radio networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
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We investigate the use of an auxiliary network of sensors to locate mobiles in a cellular system, based on the received signal strength at the sensor receivers from a mobile's transmission. The investigation uses a generic path loss model incorporating distance effects and spatially correlated shadow fading. We describe four simple localization schemes and show that they all meet E-911 requirements in most environments. Performance can be further improved by implementing the MMSE algorithm, which ideally reaches the Cramer-Rao bound. We compare the MMSE algorithm and the four simple schemes when the model parameters are estimated via inter-sensor measurements.