IDEAS home Printed from https://ideas.repec.org/a/hin/jjmath/3649662.html
   My bibliography  Save this article

A New Method to Improve the Measurement Accuracy of Autonomous Astronomical Navigation

Author

Listed:
  • Yu-Feng Yang
  • Xiang Han
  • Ning-Ning Song
  • Zi-Chen Wang
  • Heng Liu

Abstract

Based on the theory of atmospheric refraction, combined with the atmospheric parameter data of NCEP (National Centers for environmental prediction), the Fourier interpolation fitting algorithm is used to model and analyze the parameters affecting atmospheric refraction on a global scale. The atmospheric temperature and density model with space-time variation is constructed. The spacecraft state equation and the measurement equation with the starlight apparent height as the observation quantity are established. Moreover, the Unscented Kalman filter is applied to the indirect sensitive horizon autonomous astronomical navigation of starlight refraction. The relative error of fitting the measured data with the spatiotemporal atmospheric temperature model established in this paper is less than 2%. The position estimation error of the navigation system is 94 m, and the velocity estimation error is 0.16 m/s. Compared with the traditional model, the navigation and positioning considering complex atmospheric changes are more accurate.

Suggested Citation

  • Yu-Feng Yang & Xiang Han & Ning-Ning Song & Zi-Chen Wang & Heng Liu, 2022. "A New Method to Improve the Measurement Accuracy of Autonomous Astronomical Navigation," Journal of Mathematics, Hindawi, vol. 2022, pages 1-9, February.
    • Handle: RePEc:hin:jjmath:3649662
    DOI: 10.1155/2022/3649662
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jmath/2022/3649662.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/jmath/2022/3649662.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/3649662?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jjmath:3649662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.