%0 Journal Article
%A DENG Zhong-liang
%A XI Yue
%A YANG Lei
%A YIN Lu
%A YU Yan-pei
%T Location Information Fusion Algorithm for GPS/Base-Station Positioning System Based on Federated Kalman Filter
%D 2013
%R 10.13190/j.jbupt.2013.06.007
%J Journal of Beijing University of Posts and Telecommunications
%P 32-36
%V 36
%N 6
%X <p>An information fusion algorithm was proposed for using both global positioning system (GPS)/base-station positioning system to get high positioning accuracy. The system state was modeled by analyzing the movement features, and the federated Kalman filter was used to fuse the two systems. The effect of information distribution factor was analyzed. A distribution method was proposed by horizontal dilution of precision and carrier to noise ratio. The positioning accuracy was improved by using the proposed algorithm. Simulations and examinations show the effectiveness of the algorithm.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2013.06.007