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 language | English (US) |
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Pages (from-to) | 271-279 |
Number of pages | 9 |
Journal | IEEE Transactions on Signal Processing |
Volume | 52 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2004 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
Keywords
- Blind source separation
- DS-CDMA
- Robust detection