Abstract In this paper, a real-time attitude estimation algorithm is derived by using an additive divided difference filter as an efficient alternative to the extended Kaiman filter. To make the attitude filtering algorithm suitable for real-time applications and to minimize the computational load, a square-root sigma point attitude filter is designed by integrating the divided difference filter with the additive noise concept using the modified Rodrigues attitude parameters. The new attitude filter provides numerically stable and accurate estimates of the state and covariance, but the computational workload of the new estimator is almost identical to the computational complexity of the extended Kaiman attitude filter. For performance evaluation the new sigma point attitude filter is compared with the unscented attitude filter and the extended Kaiman filter. The sensor measurements include a three-axis magnetometer and rate-gyros. Simulation results indicate that the proposed additive divided difference attitude filter shows faster convergence with accurate and reliable estimation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Additive Divided Difference Filtering for Real- Time Spacecraft Attitude Estimation Using Modified Rodrigues Parameters


    Contributors:

    Published in:

    Publication date :

    2009-01-01


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Additive Divided Difference Filtering for Attitude Estimation using Modified Rodrigues Parameters (AAS 08-283)

    Lee, D.-J. / Alfriend, K.T. / American Astronautical Society | British Library Conference Proceedings | 2008


    Nonsingular Attitude Filtering Using Modified Rodrigues Parameters

    Karlgaard, Christopher D | Online Contents | 2009


    Nonsingular Attitude Filtering Using Modified Rodrigues Parameters

    Karlgaard, Christopher D. / Schaub, Hanspeter | Springer Verlag | 2009