A Collaborative Location Model for Mobile Position Estimation
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. In this paper Kleine-Ostmanns data fusion model 1 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.
position estimation collaborative location data fusion cellular networks
Ping Deng Lin Liu Pingzhi Fan
Institute of Mobile Communication, Southwest Jiaotong University, Chengdu, 610031
国际会议
成都
英文
364-366
2003-08-27（万方平台首次上网日期，不代表论文的发表时间）