Blind Detection of Synchronous CDMA in Non-Gaussian Channels

Yingwei Yao, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

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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