• DocumentCode
    1255803
  • Title

    Inverse filtering criteria for CDMA systems

  • Author

    Tsatsanis, Michail K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    45
  • Issue
    1
  • fYear
    1997
  • fDate
    1/1/1997 12:00:00 AM
  • Firstpage
    102
  • Lastpage
    112
  • Abstract
    Linear blind CDMA receivers are derived using inverse filtering criteria. The receiver parameters are directly obtained without explicit estimation of the system/channel. Both synchronous and asynchronous cases are addressed, and multipath distortions are explicitly considered and compensated for. The approach is based on minimizing the receiver´s output energy subject to appropriate constraints. Similar approaches have been used before in multiuser systems but without considering multipath distortions. Batch and adaptive blind algorithms are derived that are near-far resistant and do not require knowledge of the interfering users´ codes. Global convergence is shown, optimality and performance issues are discussed, and some illustrative simulations are presented
  • Keywords
    adaptive signal processing; code division multiple access; convergence of numerical methods; filtering theory; inverse problems; multipath channels; pseudonoise codes; radio receivers; spread spectrum communication; CDMA systems; adaptive blind algorithms; asynchronous systems; batch algorithms; code-division multiple access; global convergence; inverse filtering criteria; linear blind CDMA receivers; multipath distortions; multiuser systems; near-far resistant algorithms; receiver output energy minimisation; receiver parameters; simulations; synchronous systems; system performance; Cellular networks; Convergence; Costs; Design methodology; Filtering; Frequency; Interference suppression; Multiaccess communication; Nonlinear filters; Resource management;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.552209
  • Filename
    552209