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Journal of Electrical and Computer Engineering
Volume 2010, Article ID 609509, 12 pages
http://dx.doi.org/10.1155/2010/609509
Research Article

Low-Complexity Gaussian Detection for MIMO Systems

The Information and Coding Theory Lab, University of Kiel, Kaiserstrasse 2, 24143 Kiel, Germany

Received 13 March 2010; Accepted 30 August 2010

Academic Editor: Christian Schlegel

Copyright © 2010 Tianbin Wo and Peter Adam Hoeher. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. D. Forney Jr., “Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference,” IEEE Transactions on Information Theory, vol. 18, no. 3, pp. 363–378, 1972. View at Google Scholar · View at Scopus
  2. G. Ungerboeck, “Adaptive maximum-likelihood receiver for carrier-modulated data-transmission systems,” IEEE Transactions on Communications, vol. 22, no. 5, pp. 624–636, 1974. View at Google Scholar · View at Scopus
  3. L. R. Bahl, J. Cocke, F. Jelinek, and J. Raviv, “Optimal decoding of linear codes for minimizing symbol error rate,” IEEE Transactions on Information Theory, vol. 20, no. 2, pp. 284–287, 1974. View at Google Scholar · View at Scopus
  4. A. Bahai, B. Saltzberg, and M. Ergen, Multi Carrier Digital Communications: Theory and Applications of OFDM, Springer, New York, NY, USA, 2004.
  5. X. Wang and H. Vincent Poor, “Iterative (Turbo) soft interference cancellation and decoding for coded CDMA,” IEEE Transactions on Communications, vol. 47, no. 7, pp. 1046–1061, 1999. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Liu and Z. Tian, “Near-optimum soft decision equalization for frequency selective MIMO channels,” IEEE Transactions on Signal Processing, vol. 52, no. 3, pp. 721–733, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. Jia, C. Andrieu, R. J. Piechocki, and M. Sandell, “Gaussian approximation based mixture reduction for near optimum detection in MIMO systems,” IEEE Communications Letters, vol. 9, no. 11, pp. 997–999, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. X. Yuan, K. Wu, and L. Ping, “The jointly Gaussian approach to iterative detection in MIMO systems,” in Proceedings of the IEEE International Conference on Communications (ICC '06), Istanbul, Turkey, September 2006.
  9. P. H. Tan and L. K. Rasmussen, “Asymptotically optimal nonlinear MMSE multiuser detection based on multivariate Gaussian approximation,” IEEE Transactions on Communications, vol. 54, no. 8, pp. 1427–1438, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. Jia, C. Andrieu, R. J. Piechocki, and M. Sandell, “Gaussian approximation based mixture reduction for joint channel estimation and detection in MIMO systems,” IEEE Transactions on Wireless Communications, vol. 6, no. 7, pp. 2384–2389, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. D. Divsalar, M. K. Simon, and D. Raphaeli, “Improved parallel interference cancellation for CDMA,” IEEE Transactions on Communications, vol. 46, no. 2, pp. 258–268, 1998. View at Google Scholar · View at Scopus
  12. F. R. Kschischang, B. J. Frey, and H.-A. Loeliger, “Factor graphs and the sum-product algorithm,” IEEE Transactions on Information Theory, vol. 47, no. 2, pp. 498–519, 2001. View at Publisher · View at Google Scholar · View at Scopus
  13. H.-A. Loeliger, “An introduction to factor graphs,” IEEE Signal Processing Magazine, vol. 21, no. 1, pp. 28–41, 2004. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Wo and P. A. Hoeher, “A simple iterative Gaussian detector for severely delay-spread MIMO channels,” in Proceedings of the IEEE International Conference on Communications (ICC '07), pp. 24–28, Glasgow, Scotland, June 2007.
  15. T. Wo, J. C. Fricke, and P. A. Hoeher, “A graph-based iterative Gaussian detector for frequency-selective MIMO channels,” in Proceedings of the IEEE Information Theory Workshop (ITW '06), Chengdu, China, October 2006.
  16. J. Ch. Fricke, M. Sandell, J. Mietzner, and P. A. Hoeher, “Impact of the Gaussian approximation on the performance of the probabilistic data association MIMO decoder,” EURASIP Journal on Wireless Communications and Networking, vol. 2005, no. 5, pp. 796–800, 2005. View at Publisher · View at Google Scholar
  17. T. Wo, C. Liu, and P. A. Hoeher, “Graph-based soft channel and data estimation for MIMO systems with asymmetric LDPC codes,” in Proceedings of the IEEE International Conference on Communications (ICC '08), pp. 620–624, Beijing, China, May 2008. View at Publisher · View at Google Scholar