• DocumentCode
    1501485
  • Title

    Blind detection of asynchronous CDMA signals in multipath channels using code-constrained inverse filter criterion

  • Author

    Tugnait, Jitendra K. ; Li, Tongtong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA
  • Volume
    49
  • Issue
    7
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    1300
  • Lastpage
    1309
  • Abstract
    A code-constrained inverse filter criterion based approach is presented for blind detection of asynchronous short-code direct sequence code division multiple access (DS-CDMA) signals in multipath channels. Only the spreading code of the desired user is assumed to be known; its transmission delay may be unknown. We focus on maximization of the normalized fourth cumulant of inverse filtered (equalized) data with respect to (w.r.t.) the equalizer coefficients subject to the equalizer lying in a subspace associated with the desired user´s code sequence. Constrained maximization leads to extraction of the desired user´s signal, whereas unconstrained maximization leads to the extraction of any one of the active users. Illustrative simulation examples are provided
  • Keywords
    code division multiple access; delays; equalisers; filtering theory; higher order statistics; inverse problems; multipath channels; multiuser channels; optimisation; signal detection; spread spectrum communication; asynchronous CDMA signals; asynchronous short-code DS-CDMA signals; blind detection; code sequence; code-constrained inverse filter criterion; constrained maximization; direct sequence code division multiple access; equalized data; equalizer coefficients; inverse filtered data; multipath channels; normalized fourth cumulant maximization; simulation; spreading code; transmission delay; unconstrained maximization; Data mining; Delay; Detectors; Direct-sequence code-division multiple access; Equalizers; Filters; Intersymbol interference; Multiaccess communication; Multipath channels; Signal detection;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.928685
  • Filename
    928685