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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.