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A collaborative location model for mobile position estimation

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3 Author(s)
Ping Deng ; Inst. of Mobile Commun., Southwest Jiaotong Univ., Chengdu, China ; Lin Liu ; Pingzhi Fan

In cellular networks, several TDOA (time difference of arrival) location algorithms can be applied to mobile position estimation, however, each algorithm has its own limitations and none of them is proved to be the most reliable one under different channel environments. Kleine-Ostmann's data fusion model [T. Kleine-Ostmann et al. (2001)] is modified and a collaborative location model which incorporate position estimate of two major TDOA location algorithms is proposed. It is shown by analysis and simulation that more reliable and accurate estimated mobile position can be achieved based on this model.

Published in:

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Date of Conference:

27-29 Aug. 2003