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基于粒子滤波的蜂窝网移动台单站跟踪

王丽 刘正军 胡捍英

王丽, 刘正军, 胡捍英. 基于粒子滤波的蜂窝网移动台单站跟踪[J]. 电子与信息学报, 2007, 29(7): 1556-1559. doi: 10.3724/SP.J.1146.2006.00013
引用本文: 王丽, 刘正军, 胡捍英. 基于粒子滤波的蜂窝网移动台单站跟踪[J]. 电子与信息学报, 2007, 29(7): 1556-1559. doi: 10.3724/SP.J.1146.2006.00013
Wang Li, Liu Zheng-jun, Hu Han-ying. Particle Filter for Single Base Station Mobile Tracking in Cellular Networks[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1556-1559. doi: 10.3724/SP.J.1146.2006.00013
Citation: Wang Li, Liu Zheng-jun, Hu Han-ying. Particle Filter for Single Base Station Mobile Tracking in Cellular Networks[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1556-1559. doi: 10.3724/SP.J.1146.2006.00013

基于粒子滤波的蜂窝网移动台单站跟踪

doi: 10.3724/SP.J.1146.2006.00013

Particle Filter for Single Base Station Mobile Tracking in Cellular Networks

  • 摘要: 仅使用单个基站测量信息对蜂窝网移动台进行定位跟踪实现简单并具有较高的可定位概率,但面临的挑战是如何提高定位精度。粒子滤波是基于贝叶斯推论的一种蒙特卡洛方法,特别适用于非线性非高斯信号处理。该文提出了基于粒子滤波的单站跟踪算法。仿真结果表明与快拍式定位方法相比,这种滤波算法大大提高了单站定位的精度;与扩展卡尔曼滤波相比,粒子滤波收敛速度快,性能稳健。
  • Reed J H, Krizman K J, Woerner B D, and Rappaport T S. An overview of the challenges and progress in meeting the e-911 requirement for location service. IEEE Communi. Mag., 1998, 36(4): 30-37.[2]Zhao Y. Standardization of mobile phone positioning for 3G systems. IEEE Commun. Mag., 2002, 40(7): 108-116.[3]Chan Y T and Ho K C. A simple and efficient estimator for hyperbolic location[J].IEEE Trans. on Signal Processing.1994, 42 (8):1905-1915[4]Gunnanron F and Berg N. Particle filters for positioning, navigation, and tracking[J].IEEE Trans. on Signal Processing.2002, 50(2):425-437[5]Yang Z and Wang X. Joint mobility tracking and handoff in cellular networks via sequential Monte Carlo filtering[J].IEEE Trans. on Signal. Processing.2003, 51(1):269-281[6]Gordon N J, Salmond D J, and Smith A F M. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proc.-F, 1993, 140(2): 107-113.[7]Hellebrandt M and Scheibenbogen M. Location tracking of mobiles in cellular radio networks[J].IEEE Trans. on Veh. Technol.1999, 48(9):1558-1562[8]Porretta M and Nepa P, et al.. A novel single base station mobile location algorithm: Description and validation using deterministic propagation model. 3G Mobile communication Technalogies, 2003. 4th International Conference on (Conf. Publ. No.494), Pisa Univ., Italy, 25-27 June, 2003: 277-281.[9]Sayed A, Tarighat A, and Khajehnouri N. Network-based wireless location[J].IEEE Signal Processing Mag.2005, 22(7):24-40[10]Arulampalam M S, Maskell S, Gordon N, and Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J].IEEE Trans. on Signal Processing.2002, 50(2):174-188[11]Liu J S and Chen R. Sequential Monte Carlo methods for dynamical systems[J].J. Amer. Statist. Assoc.1998, 93:1032-1044[12]范金城,吴可法. 统计推断导引. 北京:科学出版社,2001:222-232.
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出版历程
  • 收稿日期:  2006-01-04
  • 修回日期:  2006-05-08
  • 刊出日期:  2007-07-19

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