IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/362061.html
   My bibliography  Save this article

A Fast Acquisition Algorithm Overcoming Fuzz Problems for TDDM Spread Spectrum Signal

Author

Listed:
  • Fang Liu
  • Yongxin Feng

Abstract

TDDM (time division data modulation) technique will be used in the next generation GNSS (global navigation satellite system) to improve processing performance and to reduce inter-GNSS interference; however, the emergence of TDDM signal causes the estimation frequency and message reversal fuzz problems in the acquisition process of a GNSS receiver. At present, the traditional acquisition methods have some limitations and shortcomings. Therefore, aiming at the unique characteristics of TDDM signal, a fast acquisition algorithm is proposed to overcome these fuzz problems in this paper. In the proposed algorithm, three stages are obtained by some key technologies, which are the I-Q frequency compensation, superposition processing, subsection processing, and reversion position estimation. Besides, the algorithm is simulated from carrier frequency error, code phase error, message inversion error, and processing speed. Theoretical and simulation results show that the new algorithm can quickly overcome the fuzz problems, and the new algorithm is better than the existing algorithm in the speed and accuracy, which demonstrates that this new algorithm is an effective search scheme for the next generation GNSS signals.

Suggested Citation

  • Fang Liu & Yongxin Feng, 2014. "A Fast Acquisition Algorithm Overcoming Fuzz Problems for TDDM Spread Spectrum Signal," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:362061
    DOI: 10.1155/2014/362061
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/362061.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/362061.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/362061?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:362061. 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.