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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

潘文 蒋占军 杜正锋 王炎 尤肖虎

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. doi: 10.3724/SP.J.1146.2006.01874
引用本文: 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. doi: 10.3724/SP.J.1146.2006.01874
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[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1420-1423. doi: 10.3724/SP.J.1146.2006.01874
Citation: 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[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1420-1423. doi: 10.3724/SP.J.1146.2006.01874

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

doi: 10.3724/SP.J.1146.2006.01874

An Algorithm for Dynamic Location Based on Doppler Velocity Estimation and Kalman Filtering in Distributed Mobile Communication System

  • 摘要: 该文提出了一种分布式移动通信系统中的动态定位算法,算法中首先通过远端天线单元(RAU)测量移动台(MS)的多普勒频偏,将其变换为MS到各RAU方向的径向速度,建立状态方程和观测方程,然后采用扩展卡尔曼滤波法估计移动台的当前位置,并通过逐次迭代即可实现MS运动轨迹的动态估计。因为卡尔曼滤波法的引入,该算法有效地降低了当前估计误差对后续时刻估计值的影响,从而可获得较高的定位精度。
  • Dran E C, Macnau G M, and Scott C. Positioning GSMtelephones [J]. IEEE Communications Magazine, 1998, 36(4):46-54.[2]Zagam M, Parl S A, and Bussgang J, et al.. Providinguniversal location services using a wireless E911 locationnetwork [J]. IEEE Communications Magazine, 1998: 36(4):66-71.[3]Hussain S S R, Shah S A H, and Sheikh M I. A mobiletracking algorithm for adaptive array smart antennas byadapting the weights of the transmit antenna [C]. IEEEINCC, Lahore, 2004: 58-63.[4]Lin D B, Juang R T, and Lin H P. Mobile location estimationand tracking for GSM systems. Personal [C], IEEEInternational Symposium on Indoor and Mobile RadioCommunications, Barcelona, 2004, (4): 2835-2839.[5]Gu J, He F, and Gong Y H. W-CDMA wireless cellularlocation and tracking based on Markov models [J].Proc.IEEE Interl Conj Comm., Circuits and Syst. and West SinoExpositions, Chengdu.2002, (1):234-237[6]Liou S C and Lu H C. Applied neural network for locationprediction and resource reservation scheme in wirelessnetworks [C]. Proceedings of ICCT2003, Beijing, 2003:958-961.[7]Samaan N and Karmouch A. A mobility predictionarchitecture based on contextual knowledge and spatialconceptual maps [J]. IEEE Trans. on Mobile Computing,2005, 6(4): 537-551.[8]尤肖虎, 赵新胜. 分布式无线电和蜂窝移动通信网络结构[J].电子学报, 2004: 32(12A): 16-21.[9]Kerpez K J. A radio access system with distributed antennas[J]. IEEE Trans. on Vehic Tech, 1996: 45(2): 265-275.[10]Pan W, Wu J, and Wang Y, et al.. The network centralizedlocation scheme based on Doppler in distributed antenna [C].ITST2006, Chengdu, 2006: 94-97.[11]曹振华,赵平,胡跃清. 概率论与数理统计[M]. 南京:东南大学出版社,2001: 188.
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出版历程
  • 收稿日期:  2006-11-27
  • 修回日期:  2007-10-29
  • 刊出日期:  2008-06-19

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