• DocumentCode
    1500404
  • Title

    Oversampled M-sequences for joint data and bit epoch estimation in DSSS transmissions

  • Author

    Borio, Daniele

  • Author_Institution
    Dept. of Geomatics Eng., Univ. of Calgary, Calgary, AB, Canada
  • Volume
    13
  • Issue
    10
  • fYear
    2009
  • fDate
    10/1/2009 12:00:00 AM
  • Firstpage
    721
  • Lastpage
    723
  • Abstract
    The maximum likelihood (ML) estimator for the bit synchronization epoch and data bit values in direct-sequence spread-spectrum (DSSS) transmission consists of determining the binary sequence that maximizes the correlation with the recovered data samples. This requires the exhaustive test of all sequences generated by the different bit combinations and alignments, resulting in a computationally intensive process. In this letter, the properties of maximum length sequences (m-sequences) are exploited for testing all the bit combinations and alignments in parallel, leading to a computationally efficient implementation of the ML estimator. The case where the data bits are modulated by an overlay or secondary code is also considered and the proposed algorithm is generalized to include the effect of this additional modulation.
  • Keywords
    binary sequences; fast Fourier transforms; m-sequences; maximum likelihood estimation; spread spectrum communication; synchronisation; DSSS transmissions; binary sequence; bit epoch estimation; bit synchronization; direct-sequence spread-spectrum transmission; fast Fourier transform; m-sequences; maximum length sequences; maximum likelihood estimator; modulation; Binary sequences; Computational complexity; Concurrent computing; Fast Fourier transforms; Global Positioning System; Maximum likelihood estimation; Modulation coding; Signal processing; Spread spectrum communication; Testing; Bit estimation, bit synchronization, directsequence spread-spectrum (DSSS), fast Fourier transform (FFT), maximum length sequences, M-sequences, secondary codes.;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2009.091354
  • Filename
    5288441