东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (11): 1536-1539.DOI: -

• 论著 • 上一篇    下一篇

BP神经网络在差分GPS定位技术中的应用

刘英英;徐香坤;魏静敏;金亚玲;   

  1. 东北大学信息科学与工程学院;沈阳理工大学应用技术学院信息系;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-11-15 发布日期:2013-06-22
  • 通讯作者: Liu, Y.-Y.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(20062027)

Application of BP neural network to GPS differentiation positioning

Liu, Ying-Ying (1); Xu, Xiang-Kun (2); Wei, Jing-Min (2); Jin, Ya-Ling (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Information Department, Polytechnic School, Shenyang Ligong University, Fushun 113122, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-11-15 Published:2013-06-22
  • Contact: Liu, Y.-Y.
  • About author:-
  • Supported by:
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摘要： 在分析差分GPS数学模型的基础上,针对GPS移动终端抗遮蔽性差,由差分GPS数学模型直接计算的定位结果很难维持连续、准确位置信息的问题,采用BP神经网络的预测结果来进行定位目标,提高定位信息的实时性和准确性.确定了神经网络的结构,采用数据对网络进行训练,并对神经网络模型进行仿真.仿真结果达到了一定的定位精度,由此可以说明此方法具有一定的应用价值.

关键词: 定位, 差分GPS, BP神经网络, 仿真, 精度

Abstract: In view of that GPS (global position systems) mobile terminals are poor in signal demasking and that the position resulting from direct computation by the mathematical model of GPS differentiation is difficult to keep the exact information continuously, the BP neural network is applied to position forecast, to improve the real-time accuracy of positioning information. With the neural network trained by the data introduced in and its model simulated, the results show that the positioning accuracy is quite high. It proves that this method is worth using.

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