• DocumentCode
    1670487
  • Title

    Error probability and near-far resistance of minimum mean squared error interference suppression schemes for CDMA

  • Author

    Madhow, Upamunyu ; Honig, Michael L.

  • Author_Institution
    Bellcore, Morristown, NJ, USA
  • fYear
    1992
  • Firstpage
    1339
  • Abstract
    Interference suppression schemes for direct-sequence spread-spectrum (DS/SS) code division multiple access (CDMA) systems using the minimum mean squared error (MMSE) criterion are considered. When compared to other interference suppression schemes, such as maximum-likelihood decoding, this criterion has the advantage of being amenable to adaptive implementations that do not require knowledge of the interference parameters, such as their relative strengths and spreading sequences. These schemes are shown to be near-far resistant to varying degrees, depending on their complexity. That is, the error probability remains relatively low no matter how strong the interference. Numerical results showing error probability vs. interference power demonstrate that the proposed schemes offer substantial performance gains relative to the matched filter receiver
  • Keywords
    code division multiple access; error statistics; interference suppression; radio receivers; radiofrequency interference; spread spectrum communication; CDMA; DS-SS radio; MMSE criterion; code division multiple access; error probability; interference power; minimum mean squared error interference suppression schemes; near-far resistance; receiver; Decoding; Decorrelation; Demodulation; Detectors; Error probability; Interference suppression; Matched filters; Multiaccess communication; Performance gain; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1992. Conference Record., GLOBECOM '92. Communication for Global Users., IEEE
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-0608-2
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1992.276609
  • Filename
    276609