Abstract：An algorithm is presented for dynamic location in distributed mobile communication system. In the algorithm, Doppler frequency offsets of the MS are estimated by RAUs firstly, and the velocity in each direction from the MS to each RAU is derived. And then, the states equation and the observation equation are constituted, and an Extended Kalman Filter (EKF) is employed to estimate the position of the MS, and the trajectory of the MS can be obtained through a step by step way. The algorithm can improve the location precision because of employing of Kalman filter, which reduces the error accumulation in the Doppler dynamic location algorithm, and this issue is verified by simulation as well.
潘文; 蒋占军; 杜正锋; 王炎; 尤肖虎. 分布式移动通信系统中基于多普勒测速与卡尔曼滤波的动态定位算法[J]. 电子与信息学报, 2008, 30(6): 1420-1423 .
Pan Wen; Jiang Zhan-jun; Du Zheng-feng; Wang Yan; You Xiao-hu . An Algorithm for Dynamic Location Based on Doppler Velocity Estimation and Kalman Filtering in Distributed Mobile Communication System. , 2008, 30(6): 1420-1423 .
2008, Vol. 30 
