An extended Kalman filter is used to process line-of-sight measurements to stars and known landmarks providing a statistical indication of performance in estimating spacecraft attitude, orbital ephemeris, and the bias drift of a set of three strapdown gyros. The landmark measurements were assumed to have been taken from the imagery of an Earth-observing multispectral scanner. It is shown that filtering of these noisy measurements results in highly accurate estimates of the above parameters. Results are given showing the sensitivity of performance to various system parameters such as star tracker accuracy, errors in the knowledge of landmark position, and number of stars and landmarks processed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Attitude and Oribit Estimation Using Stars and Landmarks


    Contributors:
    White, R.L. (author) / Adams, M.B. (author) / Geisler, E.G. (author) / Grant, F.D. (author)

    Published in:

    Publication date :

    1975-03-01


    Size :

    1633127 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Attitude and orbit estimation using stars and landmarks

    White, R.L. / Adams, M.B. / Geisler, E.G. et al. | Tema Archive | 1975


    Attitude and orbit estimation using stars and landmarks

    White, R. L. / Adams, M. B. / Grant, F. D. et al. | NTRS | 1975



    Attitude Correction Using Corner Landmarks in 3-D SLAM

    Zhen Zhu, / de Haag, Maarten Uijt | IEEE | 2018


    Vision-Based State Estimation Using Tracked Landmarks

    Myhre, Nicodemus / Chavez Armijos, Andres S. / Clark, Matthew et al. | AIAA | 2018