.toa / Tdoa Of Cellular Network Positioning Algorithm Study

Cellular wireless location service is a new mobile value-added service with a good market future. Its basic principle is to implement mobile user location through estimating charactistics parameters relative to position, including time-of-arrival, time-difference-of-arrival, direction-of-arrival, ect.First, we analyze the location service requirements and location technology in the 3G mobile communication system, propose an open location services architecture and structure model which provides end-to-end location service, and point out the design idea that location service and access network should be separated between each other, which also provides a system background for location algorithms design. Then we present a TOA/TDOA data fusion model based on mathematical statistics for radiolocation in cellular network, and fuse TOA/TDOA measurements through a best linear fusion method and a mobile position based dynamic location algorithm, which shows good performance of robustness and accuracy.In order to improve adaptability and robustness of algorithms, we present another TOA/TDOA data fusion algorithm based on Support Vector Machine Regression for radiolocation. Then we test the capability of location estimation algorithm in distinct channel environments, the results suggest that the location precision within 100m is accessed with 67% probability by this method. At the same time, we analyze the key factors related to algorithm behavior.Finally, we make conclusions for completed work and main contributions of this research work, and prospect for directions of future research.