Reduced-rank multiuser detectors based on vector and matrix conjugate gradient Wiener filters
2004 (English)In: 2004 IEEE 5th Workshop on Signal Processing Advances in Wireless Communications: Lisbon, Portugal, 11 - 14 July, 2004, Piscataway, NJ: IEEE Communications Society, 2004, 189-193 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2004. 189-193 p.
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:ltu:diva-38160DOI: 10.1109/SPAWC.2004.1439230Local ID: c78f1740-f19c-11df-8b36-000ea68e967bISBN: 0-7803-8337-0 (print)OAI: oai:DiVA.org:ltu-38160DiVA: diva2:1011659
IEEE Workshop on Signal Processing Advances in Wireless Communications : 11/07/2004 - 14/07/2004
Upprättat; 2004; 20101116 (ysko)2016-10-032016-10-03Bibliographically approved