Reduced-rank multiuser detectors based on vector and matrix conjugate gradient Wiener filters

Hongya Ge, Louis L. Scharf, Magnus Lundberg

Research output: Contribution to conferencePaperpeer-review

17 Scopus citations

Abstract

Using the notion of expanding subspace and the framework of reduced-rank signal processing, we present our latest discovery on applying the vector and matrix conjugate gradient (CG) methods to design reduced-rank linear MMSE multiuser detectors (MUD) for code division multiple access (CDMA) systems. We show that for a synchronous CDMA system with K users, each using a distinct length N spreading code, the vector CG method converges to the full-rank linear MUD in at most K steps (K ≤ N). The matrix CG method converges to the full-rank linear MUD in one step. Furthermore, when the Gold codes are used as spreading codes in combination with a groupwise power control scheme, early convergence in the vector CG Wiener filter can be reached in just L steps (L ≪ K ≤ N), typically L = 2-4 independent of the user number K and the spreading length N.

Original languageEnglish (US)
Pages189-193
Number of pages5
StatePublished - 2004
Event2004 IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, SPAWC - Lisbon, Portugal
Duration: Jul 11 2004Jul 14 2004

Other

Other2004 IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
CountryPortugal
CityLisbon
Period7/11/047/14/04

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Engineering(all)

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