Blind Detection of Synchronous CDMA in Non-Gaussian Channels

Yingwei Yao, H. Vincent Poor

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

Most blind source separation algorithms assume the channel noise to be Gaussian. This paper considers the problem of noncooperative blind detection of synchronous direct-sequence code-division multiple-access communications (no knowledge of the spreading sequences or training data) in non-Gaussian channels. Three iterative algorithms with different performance and complexity tradeoffs are proposed. Simulation results show that they significantly outperform Gaussian-optimal blind source separation algorithms in non-Gaussian channels. The Cramér-Rao lower bound for this problem is computed, and the performance of the proposed algorithms is shown to approach this bound for moderate signal-to-noise ratios.

Original languageEnglish (US)
Pages (from-to)271-279
Number of pages9
JournalIEEE Transactions on Signal Processing
Volume52
Issue number1
DOIs
StatePublished - Jan 2004

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Blind source separation
  • DS-CDMA
  • Robust detection

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