Reduced-Complexity Iterative Markov Chain MBER Detection for MIMO Systems

IEEE Signal Processing Letters

Volumn 16, Issue 3, 2009, Pages 160-163

  Sugiura, Shinya ^a   Chen, Sheng ^a   Hanzo, Lajos ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Markov chain Monte Carlo; minimum bit error rate; multiuser detection; soft interference cancellation

Indexed keywords

EID: 85008002453     PISSN: 10709908     EISSN: 15582361     Source Type: Journal    
DOI: 10.1109/LSP.2008.2010817     Document Type: Article

References (11)

1. C. Berrou, A. Glavieux, and P. Thitimajshima, “Near shannon limit error-correcting coding and decoding: Turbo-codes,” in Proc. IEEE ICC1993, Geneva, vol. 2, pp. 1064–1070.
2. X. Wang and H. Poor, “Iterative (turbo) soft interference cancellation and decoding for coded CDMA,” IEEE Trans. Commun., vol. 47, no. 7, pp. 1046–1061, Jul. 1999.
3. M. Tüchler, A. Singer, and R. Koetter, “Minimum mean squared error equalization using a priori information,” IEEE Trans. Signal Process., vol. 50, no. 3, pp. 673–683, Mar. 2002.
4. S. Chen, A. Samingan, B. Mulgrew, and L. Hanzo, “Adaptive minimum-BER linear multiuser detection for DS-CDMA signals in multipath channels,” IEEE Trans. Signal Process., vol. 49, no. 6, pp. 1240–1247, Jun. 2001.
5. S. Chen, A. Livingstone, and L. Hanzo, “Minimum bit-error rate design for space-time equalization-based multiuser detection,” IEEE Trans. Commun., vol. 54, no. 5, pp. 824–832, May 2006.
6. S. Tan, S. Chen, and L. Hanzo, “On multi-user EXIT chart analysis aided turbo-detected MBER beamformer designs,” IEEE Trans. Wireless Commun., vol. 7, no. 1, pp. 314–323, Jan. 2008.
7. S. Tan, S. Chen, and L. Hanzo, “Iterative multiuser minimum symbol error rate beamforming aided QAM receiver,” IEEE Signal Process. Lett., vol. 15, pp. 301–304, 2008.
8. Z. Yang, B. Lu, and X. Wang, “Bayesian Monte Carlo multiuser receiver for space-time coded multicarrier CDMA systems,” IEEE J. Select. Areas Commun., vol. 19, no. 8, pp. 1625–1637, Aug. 2001.
9. R. Chen, J. Liu, and X. Wang, “Convergence analyses and comparisons of Markov chain Monte Carlo algorithms in digital communications,” IEEE Trans. Signal Process., vol. 50, no. 2, pp. 255–270, Feb. 2002.
10. A. Doucet and X. Wang, “Monte Carlo methods for signal processing: A review in the statistical signal processing context,” IEEE Signal Process. Mag., vol. 22, no. 6, pp. 152–170, Nov. 2005.
11. B. Farhang-Boroujeny, H. Zhu, and Z. Shi, “Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems,” IEEE Trans. Signal Process., vol. 54, no. 5, pp. 1896–1909, May 2006.