GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SINS/GPS/CNS integrated navigation method study based on Federated Filter


    Contributors:
    Ren Li, (author) / Xijun Chen, (author) / Li Wang, (author) / Baiting Zhao, (author) / Qingshuang Zeng, (author)


    Publication date :

    2008-12-01


    Size :

    519295 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Adaptive Federated Filtering Algorithm for Dynamic SINS/Multi-satellite Integrated Navigation System

    Wang, C.-x. / Zhao, W. / Liu, R.-h. et al. | British Library Online Contents | 2008


    Research on Invariant Extended Kalman Filter Based 5G/SINS Integrated Navigation Simulation

    Luo, Yarong / Wang, Mengyuan / Guo, Chi et al. | British Library Conference Proceedings | 2021


    Integrated navigation method for SINS and odometer

    Xiaoyue, Z. / Gongliu, Y. / Chunxi, Z. | British Library Online Contents | 2013


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

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