Adaptive reduced-rank residual correlation algorithms for DS-CDMA interference suppression

Michael L Honig*, J. Scott Goldstein

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


A class of adaptive algorithms for DS-COMA interference suppression is presented based on the multistage Wiener filter introduced by Goldstein & Reed. Unlike the principal-components method for reduced-rank filtering, this method performs well when the subspace spanned by the filter is less than the dimension of the signal subspace. We present block and recursive algorithms for estimating the filter parameters, which do not require matrix inversion or an eigen-decomposition. Algorithm performance in the context of a heavily loaded DS-CDMA system is characterized via computer simulation.

Original languageEnglish (US)
Pages (from-to)1106-1110
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - Dec 1 1998

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptive reduced-rank residual correlation algorithms for DS-CDMA interference suppression'. Together they form a unique fingerprint.

Cite this