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导弹与制导技术

提高GPS定位精度的自适应IMM 滤波算法

  • 王康 ,
  • 刘莉 ,
  • 杜小菁 ,
  • 李怀建
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  • 北京理工大学宇航学院,北京 100081

王康(1984-),男,山东人,博士研究生,研究方向:卫星导航。

收稿日期: 2010-01-27

  网络出版日期: 2025-05-28

Adaptive IMM Algorithm for Improving GPS Positioning Accuracy

  • WANG Kang ,
  • LIU Li ,
  • DU Xiaojing ,
  • LI Huaijian
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  • School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China

Received date: 2010-01-27

  Online published: 2025-05-28

摘要

为提高GPS动态定位解算精度,将IMM算法引入到GPS定位解算中,利用匀速模型和“当前”统计模型进行交互。利用位置估计值与加速度的函数关系自适应调整加速度方差,同时引入强跟踪滤波器,提高模型对载体突发机动的自适应跟踪能力。利用SpirentGPS模拟器和NovAtel差分系统及NovAtel接收机分别进行了仿真实验和跑车实验。实验结果表明,该算法的定位精度优于标准的“当前”模型滤波算法和NovAtel接收机。

本文引用格式

王康 , 刘莉 , 杜小菁 , 李怀建 . 提高GPS定位精度的自适应IMM 滤波算法[J]. 弹箭与制导学报, 2010 , 30(6) : 66 -69 . DOI: 10.15892/j.cnki.djzdxb.2010.06.001

Abstract

The interacting multiple model algorithms were introduced into GPS positioning. The constant velocity model and current statistics model were selected. A method using the relation of location estimation and acceleration was presented to adjust the acceleration variance adaptively. The strong tracking filter was utilized to improve the adaptive tracking performance when there was a sudden maneuver. Simulation and run in test were carried out employing GPS simulator and NovAtel differential position system as well as NovAtel receiver, respectively. The results indicate that this adaptive algorithm has higher accuracy than normal current statistical model as well as NovAtel receiver.

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