IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1643967.html
   My bibliography  Save this article

Accurate and Autonomous Star Acquisition Method for Star Sensor under Complex Conditions

Author

Listed:
  • Hao Zhang
  • Yanxiong Niu
  • Jiazhen Lu
  • He Zhang

Abstract

Star sensor is a preferred attitude measurement device for its extremely high accuracy. Star acquisition is the essential and critical procedure, which is aiming at acquiring accurate star areas. However, degenerated acquisition results under complex conditions become one of the major restrictions for modern star sensor. In this paper, an accurate and autonomous star acquisition method is proposed. Mathematical morphology and variable thresholding are combined for accurate star extraction; motion PSF is estimated in frequency domain and nonlinear filter is adopted for star restoration. Accurate star acquisition can be achieved based on only one star image. Simulations and laboratory experiments are conducted for verification. Several existing methods are also reproduced for comparison. Acquisition results demonstrate that the proposed method is effective and an excellent performance can be achieved autonomously under complex conditions, along with more detected stars and improved acquisition accuracy.

Suggested Citation

  • Hao Zhang & Yanxiong Niu & Jiazhen Lu & He Zhang, 2017. "Accurate and Autonomous Star Acquisition Method for Star Sensor under Complex Conditions," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, January.
  • Handle: RePEc:hin:jnlmpe:1643967
    DOI: 10.1155/2017/1643967
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2017/1643967.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2017/1643967.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2017/1643967?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:jnlmpe:1643967. 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.