航空学报 > 2016, Vol. 37 Issue (10): 2895-2908   doi: 10.7527/S1000-6893.2015.0351

GNSS/INS深组合技术研究进展与展望

牛小骥, 班亚龙, 张提升, 刘经南   

  1. 武汉大学 卫星导航定位技术研究中心, 武汉 430079
  • 收稿日期:2015-10-21 修回日期:2015-11-26 出版日期:2016-10-15 发布日期:2015-12-30
  • 通讯作者: 张提升,Tel.:027-68778890 E-mail:zts@whu.edu.cn E-mail:zts@whu.edu.cn
  • 作者简介:牛小骥 男,博士,教授,博士生导师。主要研究方向:惯性导航与组合导航。Tel:027-68778595 E-mail:xjniu@whu.edu.cn;班亚龙 男,博士研究生。主要研究方向:GNSS/INS深组合。E-mail:ylban@whu.edu.cn;张提升 男,博士,讲师。主要研究方向:GNSS接收机,GNSS/INS深组合。Tel:027-68778890 E-mail:zts@whu.edu.cn;刘经南 男,博士,教授,博士生导师。主要研究方向:卫星导航,大地测量。E-mail:jnliu@whu.edu.cn
  • 基金资助:

    国家自然科学基金(41174028,41404029,L1422027);国家“863”计划(2015AA124002)

Research progress and prospects of GNSS/INS deep integration

NIU Xiaoji, BAN Yalong, ZHANG Tisheng, LIU Jingnan   

  1. GNSS Research Center, Wuhan University, Wuhan 430079, China
  • Received:2015-10-21 Revised:2015-11-26 Online:2016-10-15 Published:2015-12-30
  • Supported by:

    National Natural Science Foundation of China (41174028, 41404029, L1422027); National High-tech Research and Development Program of China (2015AA124002)

摘要:

在GNSS/INS组合导航领域,深组合是最深层次的组合方式,随着航空、航天、军事等应用对导航系统性能要求的提升,深组合技术逐步成为国内外研究的重点。通过对GNSS/INS深组合的技术起源与结构发展过程的梳理,总结出当前对深组合概念理解的两种立场。按照接收机环路跟踪结构与信息处理方式不同,将深组合结构分为标量深组合、相干矢量深组合以及非相干矢量深组合3种类型,其中相干矢量深组合又可以分为级联式和集中式两种结构。综述了国内外深组合技术的研究现状并指出了当前研究中存在的问题,最后结合实际应用需求对深组合的发展进行了展望。

关键词: GNSS/INS, 组合导航, 深组合, 结构分类, 矢量深组合, 标量深组合

Abstract:

With the improvement of the performance requirements of the navigation system in aviation, aerospace and military applications, the GNSS/INS deep integration has gradually become the research focus as it is the deepest way of GNSS/INS integration. This paper has introduced different understandings of the deep integration concept based on the origination and development process of GNSS/INS deep integration. According to the variation of the receiver tracking loops and information processing methods, the deeply integrated navigation system can be classified into three modes, which are scalar tracking-based deep integration, coherent vector tracking-based deep integration and non-coherent vector tracking-based deep integration. The coherent vector tracking-based deep integration mode can be further classified into the cascade and centralized architectures. The features are compared and analyzed respectively by providing architectures of different deep integration modes. The researches of the GPS/INS deep integration research at home and abroad are reviewed and problems in the current research are summarized. Finally the future directions of the GPS/INS deep integration are pointed out according to the practical applications.

Key words: GNSS/INS, integrated navigation, deep integration, architecture, vector-based deep integration, scalar-based deep integration

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