• DocumentCode
    1729541
  • Title

    Subspace estimation-based constrained optimization method for multipath CDMA channels

  • Author

    Wang, X.M. ; Lu, W.-S. ; Antoniou, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng, Victoria Univ., BC, Canada
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Abstract
    A subspace estimation-based constrained optimization method for the suppression of multiple-access interference (MAI) is proposed. The proposed method entails a new algorithm that approximates the noise subspace in a more robust manner compared with several existing methods. Simulations demonstrate that the performance of the proposed method is almost the same as that of some known subspace methods but the method leads to a significant reduction in the amount of computation. Relative to some known constrained optimization methods, our method offers a significantly improved performance while requiring a comparable amount of computation.
  • Keywords
    AWGN channels; adaptive signal detection; code division multiple access; computational complexity; interference suppression; multipath channels; multiuser channels; optimisation; parameter estimation; radiofrequency interference; transient response; DS-CDMA; MAI; adaptive detection; blind detection; channel impulse response; computational complexity; constrained optimization method; interference suppression; multipath channels; multiple-access interference; multiuser detection; noise subspace; subspace estimation; white Gaussian noise channels; Delay; Detectors; Integrated circuit modeling; Integrated circuit noise; Interference constraints; Multiaccess communication; Multipath channels; Multiple access interference; Optimization methods; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
  • Print_ISBN
    0-7803-7448-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2002.1009764
  • Filename
    1009764