Quasi-Tightly-Coupled GNSS-INS Integration

被引:0
|
作者
Scherzinger, Bruno [1 ]
机构
[1] Applanix Corp, Richmond Hill, ON, Canada
来源
PROCEEDINGS OF THE 27TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2014) | 2014年
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Quasi-tightly-coupled (QTC) GNSS-INS integration is a method of loosely-coupled integration that has the salient characteristics of a tightly-coupled integration. This method is intended for integration of an existing GNSS navigation engine into a GNSS-INS closed-loop configuration with little or no modification of the GNSS navigation engine. The method of integration uses the range measurement model matrix typically used to compute dilutions of precision (DOP) to identify the observable subspace in the time-space frame generated by the available satellites and project the loosely-coupled INS-GNSS Kalman filter position measurement into this subspace.
引用
收藏
页码:1761 / 1767
页数:7
相关论文
共 50 条
  • [41] LEO-Enhanced GNSS/INS Tightly Coupled Integration Based on Factor Graph Optimization in the Urban Environment
    Zhang, Shixuan
    Tu, Rui
    Gao, Zhouzheng
    Zou, Decai
    Wang, Siyao
    Lu, Xiaochun
    REMOTE SENSING, 2024, 16 (10)
  • [42] A Novel Factor Graph Framework for Tightly Coupled GNSS/INS Integration With Carrier-Phase Ambiguity Resolution
    Shen, Zhiheng
    Li, Xingxing
    Wang, Xuanbin
    Wu, Zongzhou
    Li, Xin
    Zhou, Yuxuan
    Li, Shengyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (10) : 13091 - 13105
  • [43] A Failure-Resistant, Lightweight, and Tightly Coupled GNSS/INS/Vision Vehicle Integration for Complex Urban Environments
    Wu, Zongzhou
    Li, Xingxing
    Shen, Zhiheng
    Xu, Zhili
    Li, Shengyu
    Zhou, Yuxuan
    Li, Xin
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 : 1 - 13
  • [44] A Novel Optimal Robust Adaptive Scheme for Accurate GNSS RTK/INS Tightly Coupled Integration in Urban Environments
    Wu, Jiaji
    Jiang, Jinguang
    Zhang, Chao
    Li, Yuying
    Yan, Peihui
    Meng, Xiaoliang
    REMOTE SENSING, 2023, 15 (15)
  • [45] Tightly coupled MEMS based INS/GNSS performance evaluation during extended GNSS outages
    Rabiain, Azmir Hasnur
    Kealy, Allison
    Morelande, Mark
    JOURNAL OF APPLIED GEODESY, 2013, 7 (04) : 291 - 298
  • [46] Tightly-coupled INS/GPS Integration with Magnetic Aid
    Hoang-Duy Nguyen
    Vinh-Hao Nguyen
    Hong-Viet Nguyen
    2017 2ND INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS ENGINEERING (ICCRE2017), 2017,
  • [47] GNSS/INS Tightly Coupled Navigation with Robust Adaptive Extended Kalman Filter
    Wu, Youlong
    Chen, Shuai
    Yin, Tingting
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2022, 23 (06) : 1639 - 1649
  • [48] GNSS/INS Tightly Coupled Navigation with Robust Adaptive Extended Kalman Filter
    Youlong Wu
    Shuai Chen
    Tingting Yin
    International Journal of Automotive Technology, 2022, 23 : 1639 - 1649
  • [49] Robust Tightly Coupled GNSS/INS Experimental Assessment for Autonomous Aircraft Inspection
    Ding, Yi
    Pages, Gael
    Asseman, Philippe
    Chaumette, Eric
    PROCEEDINGS OF THE 34TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2021), 2021, : 3452 - 3463
  • [50] Analysis on the Influence of the INS Precision in an Ultra-tightly Coupled INS/GPS Integration
    Luo Dacheng
    Liu Zhiguo
    Zhang Shuai
    2016 IEEE INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2016, : 1106 - 1111