Data-aided and blind stochastic gradient algorithms for widely linear MMSE MAI suppression for DS-CDMA

@article{Schober2004DataaidedAB,
  title={Data-aided and blind stochastic gradient algorithms for widely linear MMSE MAI suppression for DS-CDMA},
  author={Robert Schober and Wolfgang H. Gerstacker and Lutz H.-J. Lampe},
  journal={IEEE Transactions on Signal Processing},
  year={2004},
  volume={52},
  pages={746-756}
}
In this paper, three novel stochastic gradient algorithms for adjustment of the widely linear (WL) minimum mean-squared error (MMSE) filter for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA) are introduced and analyzed. In particular, we derive a data-aided WL least-mean-square (LMS) algorithm, a blind WL minimum-output-energy (MOE) algorithm, and a WL blind LMS (BLMS) algorithm. We give analytical expressions for the steady-state… CONTINUE READING

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