• DocumentCode
    30610
  • Title

    Two-Dimensional Compressed Correlator for Fast PN Code Acquisition

  • Author

    Kong, Seung-Hyun ; Kim, Binhee

  • Author_Institution
    CCS Graduate School for Green Transportation, Korea Advanced Institute of Science and Technology, Taejeon, Rep. of Korea 305-701
  • Volume
    12
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov-13
  • Firstpage
    5859
  • Lastpage
    5867
  • Abstract
    Acquisition of an incoming long pseudo-noise (PN) code signal requires a fast hypothesis testing function for a large number of code phase hypotheses. In addition, when a transmitter is moving at a high speed, the hypothesis testing function needs to search for the signal in a 2-Dimensional (2D) search space that includes all possible combinations of code phase hypothesis and Doppler frequency hypothesis. Since a receiver has limited hardware resources (in terms of number of correlators and computational capacity) in practice, fast PN code acquisition is not an easy goal to achieve. In this paper, we propose a double dwell search scheme, where a 2D compressed correlator (TDCC) tests a number of coherently combined neighboring code phase hypotheses and Doppler frequency hypotheses at a time in the 1st dwell search, and all individual neighboring hypotheses found in the 1st dwell search are tested in the 2nd dwell search using a conventional correlator. We present theoretical performance analysis of the proposed technique and Monte Carlo simulation results to demonstrate the performance of the proposed technique and to compare it to the conventional double dwell search technique.
  • Keywords
    Correlation; Correlators; Doppler effect; Receivers; Signal to noise ratio; Space vehicles; Testing; PN code acquisition; compressed correlator; compressed sensing; double dwell search;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2013.092313.130407
  • Filename
    6613627