A VLSI architecture of the schnorr-enchner decoder for MIMO systems
- 12 November 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 65-68
- https://doi.org/10.1109/casset.2004.1322918
Abstract
The lattice decoder is shown to approach the performance of maximum-likelihood decoder for MIMO wireless systems with low complexity. A VLSI architecture of the K-best Schnorr-Euchner lattice decoder is proposed in this paper. The architecture is optimized on both algorithm and architecture levels, and supports a dynamic range of SNR /spl les/30 dB. Compared to a conventional VLSI implementation of the lattice decoder for MIMO systems, the proposed architecture results in up to 37% computation reductions, 20% area savings and more than 5 times decoding throughput improvements. The proposed architecture is implemented with 0.35 /spl mu/m technology for a system of 4 transmit/receive antennas and 16-QAM modulation. The results show that a decoding throughput of 53.3 Mbits/s can be achieved, and the decoding latency is less than 2.5 /spl mu/s.Keywords
This publication has 8 references indexed in Scilit:
- VLSI implementation issues of lattice decoders for MIMO systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Reduced Complexity Schnorr–Euchner Decoding Algorithms for MIMO SystemsIEEE Communications Letters, 2004
- On the complexity of ml lattice decoders for decoding linear full rate space-time codesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Layered space-time architecture for wireless communication in a fading environment when using multi-element antennasBell Labs Technical Journal, 2002
- Closest point search in latticesIEEE Transactions on Information Theory, 2002
- Lattice code decoder for space-time codesIEEE Communications Letters, 2000
- Sorting-based VLSI architectures for the M-algorithm and T-algorithm trellis decodersIEEE Transactions on Communications, 1995
- Sequential Coding Algorithms: A Survey and Cost AnalysisIEEE Transactions on Communications, 1984