GPS/INS组合导航系统的研究

高宪军; 翟林培

doi:null

您当前的位置：

首页 >

文章列表页 >

GPS/INS组合导航系统的研究

空间光学 | 更新时间：2020-08-12

- GPS/INS组合导航系统的研究
- GPS/INS integrated navigation system
- 光学精密工程 2004年12卷第2期页码：146-150
- 作者机构：
  
  中国科学院, 长春光学精密机械与物理研究所, 吉林, 长春, 130033
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： V249.322
- 收稿日期：2003-12-24，
  
  修回日期：2004-03-10，
  
  网络出版日期：2004-04-15，
  
  纸质出版日期：2004-04-15
- 稿件说明：
移动端阅览
高宪军, 翟林培. GPS/INS组合导航系统的研究[J]. 光学精密工程, 2004,(2): 146-150

GAO Xian-jun, ZHAI Lin-pei. GPS/INS integrated navigation system[J]. Editorial Office of Optics and Precision Engineering, 2004,(2): 146-150
高宪军, 翟林培. GPS/INS组合导航系统的研究[J]. 光学精密工程, 2004,(2): 146-150 DOI：

GAO Xian-jun, ZHAI Lin-pei. GPS/INS integrated navigation system[J]. Editorial Office of Optics and Precision Engineering, 2004,(2): 146-150 DOI：

摘要

讨论了飞机惯性导航系统(INS)与全球卫星导航系统(GPS)的利与弊以及卡尔曼滤波方法在组合定位中的应用情况

进一步提出了基于神经网络数据融合方法的GPS/INS组合导航系统.系统神经网络结构采用单隐层的三层神经网络

输入输出神经元数目是4个

基于256个训练样本由经验公式求得隐层神经元数目为8个

同时还建立了惯导系统的数学模型和数据融合的数学模型.给出了利用MATLAB编制的神经网络训练程序并对这一神经网络进行了训练和仿真.实验表明

组合导航系统经度误差可达9m

纬度误差可达8m

与单独GPS定位和INS定位相比精度得到了提高.

Abstract

Through the discussions on the advantages and disadvantages of inertial navigation system(INS)and global positioning system(GPS)for aircraft

and the application of Kalman filtering method in the integrated positioning system

GPS/INS integrated navigation system

a data fusion method based on neural network is proposed. The neural network framework of the integrated navigation system is a single hidden layer three-layered neural network with 4 input/output neurons

and the number of hidden layer neurons based on 256 training samples and obtained using empiric formula is 8

and mathematical models have been established for inertial navigation system and data fusion. Training and simulation were made with this neural network using the neural network training program compiled with MATLAB

and experimental results indicate that the integrated navigation system has a longitude error of 9 m

and a latitude error of 8 m

and in comparison with separate GPS and INS

the accuracy of integrated GPS/INS has been improved.

关键词

Keywords

references

黄伟.采用卡尔曼滤波器的GPS/INS组合系统模拟仿真[J] .导航,1994,4(2):57-69.HUANG W. Simulation of GPS/INS integrated navigation with Kalman filter[J] . Navigation, 1994,4(2):57-69.(in Chinese)

吴秋平.GPS/惯性组合导航系统研究进展[J] .导航,1998,8(4):1-10.WU Q P. Survey of GPS/INS integrated navigation systems[J] . Navigation, 1998,8(4):1-10.(in Chinese)

朱坚民.基于神经网络的测量模型的建立及检验[J] .光学精密工程,2000,8(4):389-393.ZHU J M. Foundation and test of measurement mode based on neural network[J] . Optics and Precision Engineering, 2000,8(4): 389-393.(in Chinese)

焦李成.神经网络计算[M] .西安:西安电子科技大学出版社,1996.35-71.JIAO L CH. Calculation of neural network [M], Xi'an: Publishing House of Xi'an University of Electronics Science and Technology, 1990.35-71.(in Chinese)

卢秋红.基于神经网络算法的故障检测技术[J] .光学精密工程,2002,10(1):25-30.LU Q H. Fault detecting technology Based on neural network algorithm[J] . Optics and Precision Engineering,2002,10(1): 25-30.(in Chinese)

RUMELHART D E. Learning representation by back-propagating errors[J] . Nature, 1986:533-536.

楼顺天.基于MATLAB的系统分析与设计-神经网络[M] .西安:西安电子科技大学出版社,1998.LOU SH T. System analysis and design based on MATLAB-neural network [M] . Xi'an: Publishing House of Xi'an University of Electronics Science and Technology, 1998.(in Chinese)

浏览量

751

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于神经网络的全斯托克斯光电探测器

数据驱动的多模复合制导信息融合及其试验验证

基于影像视锥的二维三维一体雷视融合车速测量

接触式与白光干涉测头复合测量坐标统一与数据融合

基于圆卷积神经网络的粘连导电粒子检测