The application of lattice-reduction to the K-Best algorithm for near-optimal MIMO detection

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2008, Pages 316-319

  Shabany, Mahdi ^a   Glenn Gulak, P ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CANDIDATE GENERATION; INTERNATIONAL SYMPOSIUM; LATTICE-REDUCTION;

BOOLEAN FUNCTIONS;

EID: 51749114668     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2008.4541418     Document Type: Conference Paper

References (7)

1. H. Yao and G. Wornell, "Lattice-reduction-aided detectors for MIMO communication systems," in IEEE Proc. Globecom, pp. 17-21, 2002.
2. I. Berenguer, J. Adeane, I. J. Wassell, and X. Wang, "Lattice- reduction-aided receivers for MIMO-OFDM in spatial multiplexing systems," 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'04, vol. 2, pp. 1517-1521, 2004.
3. D. Wubben, R. Bohnke, V. Kuhn, and K. Kammeyer, "Near-maximum- likelihood detection of MIMO systems using MMSE-based latticereduction," IEEE International Conference on Communications, vol. 2, pp. 798-802, 2004.
4. K. W. Wong, C. Y. Tsui, R. S. K. Cheng, and W. H. Mow, "A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels," IEEE Int. Symp. Circuits Syst., vol. 3, pp. 273-276, May 2002.
5. X. Qi and K. Holt, "A lattice-reduction-aided soft demapper for high-rate coded mimo-ofdm systems," IEEE Signal Processing Lett., vol. 14, no. 5, pp. 305-308, 2007.
6. E. Agrell, T. Eriksson, A. Vardy, and K. Zeger, "Closest point search in lattices," IEEE Trans. on Inf. Theory, vol. 48, no. 8, pp. 2201-2214, Aug. 2002.
7. P. A. Bengough and S. J. Simmons, "Sorting-based VLSI architecture for the M-algorithm and T-algorithm trellis decoders," IEEE Trans. Commun., vol. 43, pp. 514-522, 1995.