Advanced Search
Volume 30 Issue 6
Dec.  2010
Turn off MathJax
Article Contents
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

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

doi: 10.3724/SP.J.1146.2006.01874
  • Received Date: 2006-11-27
  • Rev Recd Date: 2007-10-29
  • Publish Date: 2008-06-19
  • 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.
  • loading
  • 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.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3387) PDF downloads(817) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return