Detection of Gaussian constellations in MIMO systems under imperfect CSI

IEEE Transactions on Communications

Volumn 58, Issue 4, 2010, Pages 1151-1160

  Nevat, Ido ^a   Peters, Gareth W ^a,b   Yuan, Jinhong ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Bayesian EM; Gaussian constellations; Gibbs sampler; MAP estimation; MIMO

Indexed keywords

BAYESIAN; BER PERFORMANCE; CHANNEL ESTIMATION ERRORS; COMPUTATIONALLY EFFICIENT; CONVEX PROGRAMS; DETECTION SCHEME; GAUSSIANS; GIBBS SAMPLERS; GIBBS SAMPLING; IMPERFECT CSI; MAP DETECTOR; MAP ESTIMATION; MMSE RECEIVERS; NOISE VARIANCE; NOISE VARIANCE ESTIMATION; SIMULATION RESULT; SYMBOLS DETECTION;

ALGORITHMS; BAYESIAN NETWORKS; CHANNEL STATE INFORMATION; DECODING; ERROR STATISTICS; ESTIMATION; MIMO SYSTEMS; SAMPLING; SPURIOUS SIGNAL NOISE;

DETECTORS;

EID: 77950606267     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2010.04.080657     Document Type: Article

References (25)

1. G. Foschini and M. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Personal Commun., vol.6, no.3, pp. 311-335, 1998.
2. M. Biguesh and A. Gershman, "Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals," IEEE Trans. Acoust., Speech, Signal Process., vol.54, no.3, pp. 884-893, 2006. (Pubitemid 43280567)
3. G. Forney Jr. and G. Ungerboeck, "Modulation and coding for linear Gaussian channels," IEEE Trans Inf. Theory, vol.44, no.6, pp. 2384-2415, 1998. (Pubitemid 128741894)
4. U. Wachsmann, R. Fischer, and J. Huber, "Multilevel codes: theoretical concepts and practical design rules," IEEE Trans Inf. Theory, vol.45, no.5, pp. 1361-1391, 1999.
5. G. Forney Jr., M. Codex, and M. Mansfield, "Trellis shaping," IEEE Trans Inf. Theory, vol.38, no.2, part 2, pp. 281-300, 1992.
6. P. Fortier, A. Ruiz, and J. Cioffi, "Multidimensional signal sets through the shell construction for parallel channels," IEEE Trans. Commun., vol.40, no.3, pp. 500-512, 1992.
7. F. Kschischang and S. Pasupathy, "Optimal nonuniform signaling for Gaussian channels," IEEE Trans Inf. Theory, vol.39, no.3, pp. 913-929, 1993.
8. E. Agrell, T. Eriksson, A. Vardy, and K. Zeger, "Closest point search in lattices," IEEE Trans Inf. Theory, vol.48, no.8, pp. 2201-2214, 2002. (Pubitemid 35017061)
9. A. Wiesel, Y. Eldar, and S. Shitz, "Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels," IEEE Signal Process. Lett., vol.12, no.9, pp. 653-656, 2005. (Pubitemid 41554407)
10. G. Foschini, "Wireless communication in a fading environment when using multi-element antennas," Bell Labs Tech. J, vol.41, 1996.
11. A. Paulraj, D. Gore, R. Nabar, and H. Bolcskei, "An overview of MIMO communications-a key to gigabit wireless," Proc. IEEE, vol.92, no.2, pp. 198-218, 2004. (Pubitemid 40890761)
12. A. Wiesel, Y. Eldar, and A. Beck, "Maximum likelihood estimation in linear models with a Gaussian model matrix," IEEE Signal Process. Lett., vol.13, no.5, p. 292, 2006. (Pubitemid 43141906)
13. A. Wiesel, Y. Eldar, and A. Yeredor, "Linear regression with Gaussian model uncertainty: algorithms and bounds," IEEE Trans. Acoust., Speech, Signal Process., vol.56, no.6, pp. 2194-2205, 2008. (Pubitemid 351795876)
14. D. Raphaeli and A. Gurevitz, "Constellation shaping for pragmatic turbo-coded modulation with high spectral efficiency," IEEE Trans. Commun., vol.52, no.3, pp. 341-345, 2004.
15. F. Sun and H. van Tilborg, "Approaching capacity by equiprobable signaling on the Gaussian channel," IEEE Trans Inf. Theory, vol.39, no.5, pp. 1714-1716, 1993.
16. A. Calderbank and L. Ozarow, "Nonequiprobable signaling on the Gaussian channel," IEEE Trans Inf. Theory, vol.36, no.4, pp. 726-740, 1990. (Pubitemid 20725139)
17. G. Forsythe and G. Golub, "On the stationary values of a second-degree polynomial on the unit sphere," SIAM J. Applied Math., vol.13, p. 1050, 1965.
18. Y. Eldar and A. Beck, "Hidden convexity based near maximumlikelihood CDMA detection," pp. 61-65, 2005.
19. B. Flannery, W. Press, S. Teukolsky, and W. Vetterling, Numerical Recipes in C. New York: Press Syndicate of the University of Cambridge, 1992.
20. A. Dempster, N. Laird, D. Rubin, et al., "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Statistical Society, vol.39, no.1, pp. 1-38, 1977.
21. S. Kay, Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory. Prentice Hall PTR, 1998.
22. S. Kirkpatrick, C. Gelatt, and M. Vecchi, "Optimization by simulated annealing," Science, vol.220, no.4598, pp. 671-680, 1983.
23. A. Stuart, J. Ord, and S. Arnold, Kendall's Advanced Theory of Statistics: Volume 2A-Classical Inference and the Linear Model. London: Edward Arnold, 1999.
24. S. Boyd and L. Vandenberghe, "Introduction to convex optimization with engineering applications," Course Notes, Stanford University, 2000.
25. A. Kharab and R. Guenther, An Introduction to Numerical Methods: A MATLAB Approach. Chapman & Hall/CRC, 2006.