TDOA/AOA hybrid wireless location algorithm in cellular networks with NLOS condition

被引：2
|
作者：
Gong F. [1 ]
Wang Q. [1 ]
Zhang X. [1 ]
机构：
[1] School of Instrument Science and Engineering, Southeast University
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2010年 / 40卷 / 05期
关键词：
Angle of arrival; Hybrid wireless location; None line of sight; Steepest descent algorithm; Time difference of arrival;
D O I：
10.3969/j.issn.1001-0505.2010.05.005
中图分类号：
学科分类号：
摘要：
To achieve enough accuracy under complex wireless environment, especially under the NLOS (none line of sight) condition, a hybrid location algorithm based on TDOA (time difference of arrival) and AOA (angle of arrival) is proposed. In this algorithm, the weighted residual sum of squares is defined as the objective function, and the steepest descent method is used as the optimization method. Then, a geometrically based single bounce disk of scatters model is taken as an simulator. And the TDOA/AOA hybrid location algorithm, the TDOA/AOA hybrid Taylor series algorithm and the TDOA Taylor series algorithm are used for calculation in different environments in cellular networks. The simulation results show that when the number of the involved base stations are 3,4,5,6,7, and the radius of the scatter disk are 200,300,400,500,600,700m, respectively, the root mean squared error, the mean error and the maximum error of the TDOA/AOA hybrid location algorithm are smaller than those of the latter two algorithms, indicating that the former algorithm can achieve higher accuracy. The greater the number of the involved base stations is, the more obvious the predominance is.
引用
收藏
页码：905 / 910
页数：5
相关论文
共 11 条
  • [1] Caffery J., Wireless Location in CDMA Cellular Radio Systems, (1999)
  • [2] Chen P., A non-line-of-sight error mitigation algorithm in location estimation, Proceedings of the 1999 IEEE Wireless Communications and Networking Conference, pp. 316-320, (1999)
  • [3] Jazzar S., Caffery J., You H., A scattering model based approach to NLOS mitigation in TOA location systems, Proceedings of the 55th IEEE VTC, pp. 861-865, (2002)
  • [4] Cong L., Zhuang W., Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems, IEEE Transactions on Wireless Communications, 31, 1, pp. 439-447, (2006)
  • [5] Mao Y., Li M., Zhang B., A TOA/AOA location algorithm in NLOS environment, Journal of Electronics & Information Technology, 31, 1, pp. 37-40, (2009)
  • [6] Broumandan A., Lin T., Nielsen J., Et al., Practical results of hybrid AOA/TDOA geo-location estimation in CDMA wireless networks, Proceedings of the 68th IEEE VTC, pp. 1-5, (2008)
  • [7] Venkatraman S., Caffery J., Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments, Proceedings of the 2004 IEEE Wireless Communications and Networking Conference, pp. 274-278, (2004)
  • [8] Mao Y., Li M., Zhang B., Cellular localization algorithm based on BP neural network, Computer Engineering and Applications, 44, 3, pp. 60-63, (2008)
  • [9] Yang T., Jin L., Cheng J., An improvement CHAN algorithm based on TOA position, Acta Electronica Sinica, 37, 4, pp. 819-822, (2009)
  • [10] Foy W., Position-location solutions by Taylor-series estimation, IEEE Transactions on Aerospace and Electronic Systems, 12, 2, pp. 187-194, (1976)
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