Blind reduced-rank MMSE detector for DS-CDMA systems

Xiaodong Cai, Hongya Ge, Ali N. Akansu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We first develop a reduced-rank minimum mean square error (MMSE) detector for direct-sequence (DS) code division multiple access (CDMA) by forcing the linear MMSE detector to lie in a signal subspace of a reduced dimension. While a reduced-rank MMSE detector has lower complexity, it cannot outperform the full-rank MMSE detector. We then concentrate on the blind reduced-rank MMSE detector which is obtained from an estimated covariance matrix. Our analysis and simulation results show that when the desired user's signal is in a low-dimensional subspace, there exists an optimal subspace so that the blind reduced-rank MMSE detector lying in this subspace has the best performance. By properly choosing a subspace, we guarantee that the optimal blind reduced-rank MMSE detector is obtained. An adaptive blind reduced-rank MMSE detector, based on a subspace tracking algorithm, is developed. The adaptive blind reduced-rank MMSE detector exhibits superior steady-state performance and fast convergence speed.

Original languageEnglish (US)
Pages (from-to)1365-1376
Number of pages12
JournalEurasip Journal on Applied Signal Processing
Volume2002
Issue number12
DOIs
StatePublished - Dec 2002
Externally publishedYes

Keywords

  • Blind multiuser detection
  • CDMA
  • MMSE
  • Reduced-rank
  • Subspace tracking

ASJC Scopus subject areas

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

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