• DocumentCode
    676751
  • Title

    Performance evaluation of acquisition algorithm for BOC-modulated signal against interference

  • Author

    Fei Teng ; Changhua Zhu ; Yunhui Yi ; Changxing Pei

  • Author_Institution
    State Key Lab. of Integrated Services Networks, Xidian Univ., Xian, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we analyze the characteristics of frequency spectrum and autocorrelation function of the signal in global navigation satellite system (GNSS) with binary offset carrier (BOC) modulation. We discuss the basic working processes of the traditional BOC acquisition algorithm and the one by using auto-correlation side-peak cancellation technique (ASPeCT). We also evaluate the effect of eliminating secondary peak and anti-interference performance of these two algorithms. We perform the simulation under Gaussian white noise and band-limited white noise. The simulation results show that the acquisition algorithm by ASPeCT has great advantage in the effect of side-peak cancellation and few advantages in anti-interference performance in Gaussian white noise and band-limited white noise environments.
  • Keywords
    Gaussian noise; interference suppression; phase shift keying; satellite navigation; white noise; ASPeCT; BOC acquisition algorithm; BOC-modulated signal; GNSS; Gaussian white noise; acquisition algorithm performance evaluation; autocorrelation side-peak cancellation technique; band-limited white noise; binary offset carrier modulation; frequency spectrum characteristics; global navigation satellite system; interference; Approximation algorithms; Correlation; Global Positioning System; Interference; Receivers; Signal processing algorithms; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718967
  • Filename
    6718967