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弹箭与制导学报 >

2015 , Vol. 35 >Issue 4: 145 - 148

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.04.036

相关技术

非线性滤波算法在新的组合定位系统中的应用研究

  • 田安红 ,
  • 付承彪 ,
  • 徐坚 ,
  • 刘昆 ,
  • 徐昆良
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  • 曲靖师范学院计算机科学与工程学院,云南曲靖 655000

田安红(1984-),女,贵州安顺人,讲师,硕士,研究方向:无线定位导航。

收稿日期: 2014-10-12

  网络出版日期: 2025-05-26

基金资助

云南省科技厅青年项目(2014FD048)

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The Application of Nonlinear Filtering Algorithm in New Integrated Positioning System

  • TIAN Anhong ,
  • FU Chengbiao ,
  • XU Jian ,
  • LIU Kun ,
  • XU Kunliang
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  • School of Computer Science and Engineering, Qujing Normal College, Yunnan Qujing 655000, China

Received date: 2014-10-12

  Online published: 2025-05-26

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摘要

在新的GPS与DTMB组合定位系统中,针对定位方程具有非线性特性,从视距和非视距两种传播环境,对比分析两种非线性滤波算法在组合定位系统中的动态跟踪效果。仿真表明,扩展卡尔曼滤波(EKF)算法和粒子滤波算法(PF)均能在组合系统中成功实现定位跟踪,视距环境下的跟踪效果优于非视距,且在两种传播环境中,PF算法跟踪效果都优于EKF算法,均值和标准差满足都市环境中的定位精度要求。验证了都市环境中采用GPS与DTMB信号进行动态定位跟踪的可行性。

关键词： 非线性滤波; 运动模型; 动态跟踪

本文引用格式

田安红 , 付承彪 , 徐坚 , 刘昆 , 徐昆良 . 非线性滤波算法在新的组合定位系统中的应用研究[J]. 弹箭与制导学报, 2015 , 35(4) : 145 -148 . DOI: 10.15892/j.cnki.djzdxb.2015.04.036

Abstract

In view of the problem that positioning equation is nonlinear in new GPS and DTMB integrated positioning system, the dynamic tracking performance of two kinds of nonlinear filtering algorithm in line-of-sight and non line-of-sight propagation environment. The simulation shows that extended Kalman filtering (EKF) algorithm and particle filter (PF) algorithm can successfully implement in combined system, tracking effect of line-of-sight is better than non line-of-sight, the mean and standard deviation meet requirement for positioning precision in urban environment. Thus, the feasibility of dynamic positioning by GPS and DTMB signal has been verified in urban environment.

Key words： nonlinear filtering; motion model; dynamic tracking

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