Safety certification of GNSS-aided inertial navigation systems (INS) in civil aircraft requires thorough testing to ensure proper operation, even in worst-case conditions. One error that must be considered is that of gravity compensation on accelerometer measurements. Prior to the work described in this paper, no stochastic models existed with the Gaussian bounding of the tails required to ensure integrity performance. This paper describes a method to determine efficient stochastic models of the error of current high-order gravity models such as EGM2008. The stochastic and high-order models are combined to achieve a high-fidelity model suitable for use in testing systems designed for low-approach operations such as RNP-AR. This paper also describes a method to determine efficient stochastic models for low-order gravity models such as the WGS-84 ellipsoidal model. Such models may be used in testing systems designed for operations with less stringent lateral requirements.


    Access

    Download


    Export, share and cite



    Title :

    Gravity Modeling in GNSS-Aided Inertial Navigation System Safety Certification


    Contributors:


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    ZUPT Aided GNSS Factor Graph with Inertial Navigation Integration for Wheeled Robots

    Kilic, Cagri / Das, Shounak / Gutierrez, Eduardo et al. | British Library Conference Proceedings | 2021



    A MM-aided inertial navigation for land vehicle in GNSS-denied environment

    Gan, XvDong / Du, Shuang / Yang, WenHui | British Library Conference Proceedings | 2022


    Geomagnetism aided inertial navigation system

    Liu, Ying / Wu, Meiping / Hu, Xiaoping et al. | IEEE | 2008


    Dynamics Aided Inertial Navigation System

    Koifman, M. / Bar-Itzhack, I. Y. / Merhav, S. J. et al. | British Library Conference Proceedings | 1995