• DocumentCode
    36436
  • Title

    Dual-channel method for fast long PN-code acquisition

  • Author

    Feng Wenquan ; Xing Xiaodi ; Zhao Qi ; Wang Zulin

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • Volume
    11
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    60
  • Lastpage
    70
  • Abstract
    Long PN-code acquisition is a difficult and time-consuming task due to long code period. To accelerate acquisition, folding methods like XFAST are widely used. In high-dynamic environment however, the application of those methods are largely restricted due to nonnegligible residual frequency. This paper proposes a new dual-channel method for fast acquisition of long PN-code. In the proposed method, both non-overlapping local PN-code blocks are employed to correlate with input sample block; the detection process is eased through finding the maximum value among correlation results and verification is made with all the full and partial peaks taken into account. False alarm probabilities from analysis of the verification process are derived. Both theoretical and Monte Carlo simulations reveal that, with respect to acquisition probability and mean acquisition time under the same false alarm rate, dual-channel method has advantage over zero-padding and XFAST based folding methods under certain false alarm probabilities.
  • Keywords
    Monte Carlo methods; pseudonoise codes; Monte Carlo simulations; XFAST based folding methods; dual-channel method; false alarm probabilities; false alarm rate; fast long PN-code acquisition; high-dynamic environment; input sample block; new dual-channel method; nonoverlapping local PN-code blocks; zero-padding; Baseband; Complexity theory; Correlation; PN-codes; Signal to noise ratio; Spread spectrum management; code acquisition; detection probability; long PN-code; spread spectrum;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2014.6880461
  • Filename
    6880461