Wireless Location in CDMA Cellular Radio Systems
Wireless Location in CDMA Cellular Radio Systems
Space-Time Processing for CDMA Mobile Communications
Space-Time Processing for CDMA Mobile Communications
Mobile Location Estimation by Density-Based Clustering for NLoS Environments
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
A new velocity estimation scheme based on spatial correlation of wireless communication channel
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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Mobile location technologies have drawn much attention to cope with the mass demands of wireless communication services. Although clustering spatial data is viewed as an effective way to access the objects located in a physical space, little has been done in estimating mobile location. In wireless communication, one of the main problems with accurate location is nonline of sight (NLoS) propagation. To solve the problem, we present a new location algorithm with clustering technique by utilizing the geometrical feature of cell layout, time of arrival range measurements, and three base stations. The mobile location is estimated by solving the optimal solution of the objective function based on the high density cluster. Furthermore, our proposed algorithm only needs three range measurements and does not distinguish between NLoS and LoS environments. Simulations study was conducted to evaluate the performance of the algorithm for different NLoS error distributions and various upper bound of NLoS error. The results of our experiments demonstrate that the proposed algorithm is significantly more effective in location accuracy than range scaling algorithm, linear lines of position algorithm, and Taylor series algorithm, and also satisfies the location accuracy demand of E-911.