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相关技术

无人机平台用多源信息融合导航技术

  • 王于坤 ,
  • 姜梁 ,
  • 刘壮华 ,
  • 杨红喜 ,
  • 黄丙胜
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  • 北京航天无人机系统工程研究所,北京100094

王于坤(1987-),男,江苏盐城人,工程师,研究方向:惯性技术、卫星导航技术以及多传感器信息融合技术。

收稿日期: 2016-11-23

  网络出版日期: 2025-05-28

Multi-source Information Fusion Navigation Technology for Unmanned Aerial Vehicle Platform

  • WANG Yukun ,
  • JIANG Liang ,
  • LIU Zhuanghua ,
  • YANG Hongxi ,
  • HUANG Bingsheng
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  • Beijing Aerospace Unmanned Aerial Vehicle System Engineering Research Institute, Beijing 100094, China

Received date: 2016-11-23

  Online published: 2025-05-28

摘要

为满足无人机平台的导航要求,提出了一种新型多源信息融合导航方案。该方案以伪距、伪距率差分信息,惯导航向与磁航向的差值信息,以及惯导高度与气压高度的差值信息作为观测量。跑车实验表明:该系统能够提供可靠的导航信息,并且很好的解决了传统组合导航系统工程中航向误差角无法估计以及3颗星状态下组合效果差的缺陷。研究结果可为无人机平台导航方案的选择和设计提供参考。

本文引用格式

王于坤 , 姜梁 , 刘壮华 , 杨红喜 , 黄丙胜 . 无人机平台用多源信息融合导航技术[J]. 弹箭与制导学报, 2017 , 37(4) : 128 -132 . DOI: 10.15892/j.cnki.djzdxb.2017.04.030

Abstract

In order to meet the navigation requirements of unmanned aerial vehicles(UAV), a new multi-source information fusion navigation scheme was proposed. This scheme took pseudo range and pseudo range differential information, difference information between inertial navigation and magnetic heading, difference information between height of inertial navigation and altitude of air pressure as observed quantity. The car tests showed that this system could provide reliable navigation information, and it could well solve the shortcomings that the heading error angle could not be estimated in traditional integrated navigation system engineering and the combination effect was poor in 3 star state. The results could provide references for the selection and design of UAV platform navigation scheme.

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