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| An Algorithm for Dynamic Location Based on Doppler Velocity Estimation and Kalman Filtering in Distributed Mobile Communication System |
| Pan Wen; Jiang Zhan-jun; Du Zheng-feng; Wang Yan; You Xiao-hu |
| National Mobile Communications Research Lab, Southeast University, Nanjing 210096, China |
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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.
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Received: 27 November 2006
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2008, Vol. 30 
