Integrity monitoring using ERAIM for GNSS/inertial system

被引:9
|
作者
Liu, Haiying [1 ]
Ye, Weisong [1 ]
Wang, Huinan [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Acad Frontier Sci, Nanjing, Jiangsu, Peoples R China
来源
关键词
Aircraft navigation; Condition monitoring; Integrity monitoring; ERAIM; GNSS; Inertial navigation;
D O I
10.1108/00022661211255467
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Purpose - The purpose of this paper is to develop an integrity monitoring method using ERAIM (Extended Receiver Autonomous Integrity Monitoring) for the integrated GNSS/Inertial (Global Navigation Satellite System and inertial navigation system) of general aviation aircraft. Design/methodology/approach - First the tightly integrated GNSS with Strapdown Inertial Navigation System (GNSS/SINS) and the Kalman filter is designed. Then the processing of ERAIM is presented, in which the least-squares theory is used to calculate the best estimators by integrating the predicted states with measurement states of Kalman filter. Based on the new measurement model, the integrity monitoring for GNSS/inertial system is carried out, including the fault detection, identification, reliability and separability. Lastly, the simulation and analysis for ERAIM vs RAIM are performed to validate the proposed method. Findings - Simulation results show that the ERAIM method is able to detect and identify effectively any type of failure including step failure and ramp failure. Compared to the RAIM method for only GNSS, the ERAIM increases the redundant information and reduces the correlation of test statistics, as well as enhancing the reliability and thus can significantly improve the performance of integrity monitoring. Practical implications - In safety critical sectors such as aviation, stringent integrity performance requirements must be met. The ERAIM method cannot only be used in integrity monitoring for the integrated GNSS/Inertial system, but also can be applied to only GNSS or other integrated navigation systems for general aviation aircraft. Originality/value - The paper presents a new integrity monitoring method of ERAIM, which is able to improve the fault detection and identification capabilities significantly by extending GNSS-used RAIM method into the GNSS/Inertial integrated system.
引用
收藏
页码:287 / 292
页数:6
相关论文
共 50 条
  • [1] Integrity monitoring for integrated GNSS/SINS system based on ERAIM
    Liu, Hai-Ying
    Ye, Wei-Song
    Wang, Hui-Nan
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2010, 18 (06): : 686 - 690
  • [2] Extended Receiver Autonomous Integrity Monitoring (eRAIM) for GNSS/INS Integration
    Hewitson, Steve
    Wang, Jinling
    JOURNAL OF SURVEYING ENGINEERING, 2010, 136 (01) : 13 - 22
  • [3] MONITORING THE INTEGRITY OF GNSS
    WARD, N
    JOURNAL OF NAVIGATION, 1994, 47 (02): : 181 - 190
  • [4] Error bounds of the GNSS/INS integrated system against GNSS fault for integrity monitoring
    Liu, Wei
    Song, Dan
    Wang, Zhipeng
    Zhu, Yanbo
    Li, Qiang
    PROCEEDINGS OF THE 2020 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION, 2020, : 557 - 569
  • [5] Integrity Monitoring of Train Positioning with GNSS
    Iwamoto, Takashi
    Takewa, Tomoaki
    Tsujita, Wataru
    PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 185 - 189
  • [6] Integrity Monitoring With Vector GNSS Receivers
    Bhattacharyya, Susmita
    Gebre-Egziabher, Demoz
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (04) : 2779 - 2793
  • [7] GNSS/INS TIGHTLY COUPLING SYSTEM INTEGRITY MONITORING BY ROBUST ESTIMATION
    Wang, Shizhuang
    Zhan, Xingqun
    Pan, Weichuan
    JOURNAL OF AERONAUTICS ASTRONAUTICS AND AVIATION, 2018, 50 (01): : 61 - 79
  • [9] Integrity monitoring method for GNSS/IMU integrated navigation system of UAV
    Zhao J.
    Song D.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2024, 45 (07):
  • [10] Autonomous integrity monitoring of integrated micro-inertial navigation system
    Meng, Fanchen
    Song, Jianmin
    Xing, Chaoyang
    Wang, Wei
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2024, 44 (01) : 34 - 43