This paper present a Residuals Chi-square Test Method (RCTM) and an Autonomous Integrity monitoring by Extrapolation Method (AIME) for the integrity monitoring of integrated GNSS/SINS system. Firstly the tightly coupled integrated architectures and Kalman filer are designed, then a detailed investigation of the capability of the RCTM and AIME algorithms to deal with the step and ramp failure are carried out, and the realistic simulation platform is established. The simulated GNSS and SINS measurements for the aircraft are used to evaluate the performance of the integrity algorithms. Results show that RCTM can detect step and quickly growing failure effectively, while for slowly growing failure the AIME algorithm can detect earlier than RCTM. Combining the two methods can detect and eliminate both the step failure and ramp failure quickly and accurately.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on integrity monitoring for integrated GNSS/SINS system


    Contributors:
    Liu, Haiying (author) / Zheng, Gang (author) / Wang, Huinan (author) / Feng, Chengtao (author)


    Publication date :

    2010


    Size :

    6 Seiten, 16 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Research on Integrity Monitoring of GNSS/AHRS Integrated Navigation

    Ye, Qiwei / Zhang, Xin / Guo, Chuanpeng et al. | Springer Verlag | 2022


    Research on Integrity Monitoring of GNSS/AHRS Integrated Navigation

    Ye, Qiwei / Zhang, Xin / Guo, Chuanpeng et al. | TIBKAT | 2022


    Research on Integrity Monitoring of GNSS/AHRS Integrated Navigation

    Ye, Qiwei / Zhang, Xin / Guo, Chuanpeng et al. | British Library Conference Proceedings | 2022


    A novel interactive robust filter algorithm for GNSS/SINS integrated navigation

    Zhao, Bin / Zeng, Qinghua / Liu, Jianye et al. | SAGE Publications | 2023