Code-aided interference suppression for DS/CDMA communications - Part II: Parallel blind adaptive implementations

H. Vincent Poor, Xiaodong Wang

Research output: Contribution to journalArticle

191 Scopus citations

Abstract

An adaptive code-aided technique for the simultaneous suppression of narrow-band interference (NBI) and multiple-access interference (MAI) in direct-sequence code-division multiple-access (DS/CDMA) networks is proposed. This technique is based on the recursive least-squares (RLS) version of the minimum mean-square error (MMSE) algorithm for multiuser detection. The convergence dynamics of the RLS blind adaptive algorithm for suppressing the combined NBI and MAI are analyzed. The steady-state performance of this algorithm in terms of the signal-to-interference ratio (SIR) is also derived. Systolic array structures for parallel implementations of the RLS adaptive interference suppression algorithms are then proposed. Versions of the rotation-based QR-RLS algorithms for both the blind adaptation mode and the decision-directed adaptation mode are derived. These algorithms exhibit high degrees of parallelism, and can be mapped to VLSI systolic arrays to exploit massively parallel signal processing computation.

Original languageEnglish (US)
Pages (from-to)1112-1122
Number of pages11
JournalIEEE Transactions on Communications
Volume45
Issue number9
DOIs
StatePublished - Dec 1 1997

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • Blind adaptation
  • Convergence analysis
  • DS/CDMA
  • Interference suppression
  • Linear mmse multiuser detection
  • Qr-rls algorithm
  • Systolic array computing

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