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      A blind adaptive decorrelating detector for CDMA systems

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      Author(s)
      Ulukus, S.
      Yates, R.D.
      Date
      1998
      Source Title
      IEEE Journal on Selected Areas in Communications
      Print ISSN
      0733-8716
      Volume
      16
      Issue
      8
      Pages
      1530 - 1541
      Language
      English
      Type
      Article
      Item Usage Stats
      187
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      Abstract
      The decorrelating detector is known to eliminate multiaccess interference when the signature sequences of the users are linearly independent, at the cost of enhancing the Gaussian receiver noise. In this paper, we present a blind adaptive decorrelating detector which is based on the observation of readily available statistics. The algorithm recursively updates the filter coefficients of a desired user by using the output of the current filter. Due to the randomness of the information bits transmitted and the ambient Gaussian channel noise, the filter coefficients evolve stochastically. We prove the convergence of the filter coefficients to a decorrelating detector in the mean squared error (MSE) sense. We develop lower and upper bounds on the MSE of the receiver filter from the convergence point and show that with a fixed step size sequence, the MSE can be made arbitrarily small by choosing a small enough step size. With a time-varying step size sequence, the MSE converges to zero implying an exact convergence. The proposed algorithm is distributed, in the sense that no information about the interfering users such as their signature sequences or power levels is needed. The algorithm requires the knowledge of only two parameters for the construction of the receiver filter of a desired user: the desired user's signature sequence and the variance of the additive white Gaussian (AWG) receiver noise. This detector, for an asynchronous code division multiple access (CDMA) channel, converges to the one-shot decorrelating detector.
      Keywords
      Code division multiple access (CDMA)
      Decorrelating detector
      Multiuser detection
      Adaptive filtering
      Algorithms
      Code division multiple access
      Statistical methods
      Blind adaptive multiuser detector
      Decorrelating detectors
      Multiuser detection
      Signal detection
      Permalink
      http://hdl.handle.net/11693/25408
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/49.730459
      Collections
      • Department of Computer Engineering 1561
      • Department of Electrical and Electronics Engineering 4011
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