Stochastic gradient-based decorrelation algorithm with applications to multicarrier CDMA

A. Haimovich, Y. Bar-Ness, R. Manzo

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


A stochastic gradient-based decorrelation algorithm 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 eigenevalue 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)464-468
Number of pages5
JournalIEEE Vehicular Technology Conference
StatePublished - 1995
EventProceedings of the 1995 IEEE 45th Vehicular Technology Conference. Part 2 (of 2) - Chicago, IL, USA
Duration: Jul 25 1995Jul 28 1995

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications


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