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The location of mobile terminals in cellular networks is an important problem with applications in resource allocation, location sensitive browsing, and emergency communications. Finding cost effective location estimation techniques that are robust to Non-Line of Sight (NLOS) propagation, quantization, and measurement noise is a key problem in this area. Quantized time difference of arrival (TDoA) and received signal strength (RSS) measurements can be made simultaneously by CDMA cellular networks at low cost. The different sources of errors for each measurement type cause RSS and TDoA measurements to contain independent information about mobile terminal location. This paper applies data fusion to combine the information of RSS and TDoA measurements to calculate a superior location estimate. Nonparametric estimation methods, that are robust to variations of measurement noise and quantization, are employed to calculate the location estimates. It is shown how the data fusion location estimators are robust, provide lower error than the estimators based on the individual measurements, and have low implementation cost.
Nonparametric statistics, wireless sensor networks, location-dependent and sensitive mobile applications, location estimation.

A. N. Venetsanopoulos, K. N. Plataniotis and M. McGuire, "Data Fusion of Power and Time Measurements for Mobile Terminal Location," in IEEE Transactions on Mobile Computing, vol. 4, no. , pp. 142-153, 2005.
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