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Adaptive Decision-Feedback Detection With Constellation Constraints for MIMO Systems.
- Source :
- IEEE Transactions on Vehicular Technology; Feb2012, Vol. 61 Issue 2, p853-859, 7p
- Publication Year :
- 2012
-
Abstract
- A novel low-complexity decision-feedback detection algorithm with constellation constraints (DFCC) is proposed for multi-input–multi-output (MIMO) systems. An enhanced interference cancellation is achieved by introducing multiple constellation points as decision candidates. A complexity reduction strategy is also developed to avoid redundant processing with reliable decisions. For time-varying channels, the proposed receiver updates the filter weights using a recursive least-squares (RLS)-based algorithm. This efficient detector is also incorporated in a multiple-branch (MB) structure to achieve a higher detection diversity order. A soft-output DFCC detector is also proposed as a component of an iterative detection and decoding receiver scheme. Simulations show that the proposed DFCC technique has complexity as low as the adaptive decision-feedback (DF) detector while it significantly outperforms ordered successive interference cancellation (OSIC) processing. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 61
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 73617611
- Full Text :
- https://doi.org/10.1109/TVT.2011.2177874