On the performance of a stochastic gradient-based decorrelation algorithm for multiuser multicarrier CDMA

A. Haimovich, Y. Bar-Ness

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A stochastic gradient-based decorrelation is suggested for separation of an unknown linear mixture of signals. It is shown that while the decorrelation algorithm is similar in cost to the LMS algorithm, its rate of convergence is significantly faster making it more attractive for signal separation. Analysis of the decorrelator algorithm shows that the faster speed of convergence is a consequence of the eigenvalues spread associated with the decorrelation problem, which is smaller than the spread associated with the corresponding mean square problem. Operation of the algorithm is illustrated as an adaptive multiuser detector in a multiple carrier CDMA system.

Original languageEnglish (US)
Pages (from-to)357-371
Number of pages15
JournalWireless Personal Communications: An International Journal
Volume2
Issue number4
DOIs
StatePublished - Dec 1995

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Multicarrier CDMA
  • decorrelation
  • signal separation

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