Adaptive MMSE receiver with beamforming for DS/CDMA systems

Zihua Guo, Khaled Letaief

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The minimum mean-squared error (MMSE) receiver is a linear filter which can suppress multiple access interference (MAI) effectively in direct-sequence code-division multiple-access (CDMA) communications. An antenna array is also an efficient scheme for suppressing MAI and improving the system performance. In this letter, we consider an adaptive MMSE receiver in conjunction with beamforming in CDMA systems employing an antenna array. The proposed structure is featured as a low complexity receiver, which adapts the MMSE filter coefficients and the beamforming weights simultaneously. However, it does require the channel state information and the direction of arrival (DOA) of the desired user signal. As a result, we propose two adaptation methods to perform joint channel estimation and signal detection without any training sequence. It is demonstrated that the two proposed methods achieve similar bit-error-rate performance. More importantly, their performance degradation compared with the case with perfect channel information is small.

Original languageEnglish
Pages (from-to)605-610
Number of pages6
JournalIEEE Transactions on Wireless Communications
Volume2
Issue number4
DOIs
Publication statusPublished - Jul 2003
Externally publishedYes

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Keywords

  • Beamforming
  • Channel and direction of arrival (DOA) estimation
  • Minimum mean-squared error (MMSE)
  • Multiple access interference (MAI)
  • Multiuser detection (MUD)

ASJC Scopus subject areas

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

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