1. By calculating the ratio between matrix ranks of the current actual innovation and filtered innovation and returning the ratio as a weight to the entire error covariance matrix, we can improve the utilization and filtering accuracy of initial alignment. 2. The method is introduced into the 5th-CKF and the improved algorithm ACKF5 is obtained. The performance of ACKF5 is verified in the simulation of initial alignment of large misalignment angle and the proposed algorithm has good generality.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improved 5th-CKF and its application in initial alignment


    Contributors:
    Wang, Wei (author) / Chen, Xiyuan (author)


    Publication date :

    2018-04-01


    Size :

    3337620 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English