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Maximum likelihood receivers for space-time coded MIMO systems with gaussian estimation errors

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Chen, Yunfei and Beaulieu, Norman C. (Norman Charles), 1951-. (2008) Maximum likelihood receivers for space-time coded MIMO systems with gaussian estimation errors. IEEE Transactions on Communications, Vol.57 (No.6). pp. 1712-1720. ISSN 0090-6778

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Official URL: http://dx.doi.org/10.1109/TCOMM.2009.06.070241

Abstract

Maximum likelihood (ML) receivers for space-time coded multiple-input multiple-output (MIMO) systems with Gaussian channel estimation errors are proposed. Two different cases are considered. In the first case, the conditional probability density function (PDF) of the channel estimate is assumed Gaussian and known. In the second case, the joint PDF of the channel estimate and the true channel gain is assumed Gaussian and known. In addition to ML signal detection for space-time coded MIMO with ML and minimum mean-squared-error channel estimation, ML signal detection without channel estimation is also studied. Two suboptimal structures are derived. The Alamouti space-time codes are used to examine the performances of the new receivers. Simulation results show that the new receivers can reduce the gap between the conventional receiver with channel estimation errors and the receiver with perfect channel knowledge at least by half in some cases.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): MIMO systems -- Research, Wireless communication systems, Space time codes, Digital communication, Gaussian distribution -- Research
Journal or Publication Title: IEEE Transactions on Communications
Publisher: IEEE
ISSN: 0090-6778
Date: 25 July 2008
Volume: Vol.57
Number: No.6
Number of Pages: 9
Page Range: pp. 1712-1720
Identification Number: 10.1109/TCOMM.2009.06.070241
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
References: [1] S.N. Diggavi, N. Al-Dhahir, A. Stamoulis and A.R. Calderbank, ”Great expectations: the value of spatial diversity in wireless networks,” P. IEEE, vol. 92, pp. 219-270, Feb. 2004. [2] G. Foschini, ”Layered space-time architecture for wireless communication in a fading environment when using multiple antenna elements,” Bell Labs Techn. J., vol. 1, pp. 41-59, Sept. 1996. [3] S.M. Alamouti, ”A simple transmitter diversity scheme for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, pp. 1451-1458, Oct. 1998. [4] V. Tarokh, H. Jafarkhani and A.R. Calderbank, ”Space-time block codes from orthogonal designs,” IEEE Trans. Info. Theo., vol. 45, pp. 1456-1467, July 1999. [5] A. Lapidoth and S. Shamai, ”Fading channels: how perfect need ”perfect side information” be?,” IEEE Trans. Info. Theo., vol. 48, pp. 1118-1134, May 2002. [6] M. Medard, ”The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel,” IEEE Trans. Info. Theo., vol. 46, pp. 933-946, May 2000. [7] D. Samardzija and N. Mandayam, ”Pilot-assisted estimation of MIMO fading channel response and achievable data rates,” IEEE Trans. Signal Processing, vol. 51, pp. 2882-2890, Nov. 2003. [8] T. Yoo and A. Goldsmith, ”Capacity and power allocation for fadingMIMO channels with channel estimation error,” IEEE Trans. Info. Theo., vol. 52, pp. 2203-2214, May 2006. [9] P. Kyritsi, R.V. Valenzuela and D.C. Cox, ”Channel and capacity estimation errors,” IEEE Commun. Lett., vol. 6, pp. 517-519, Dec. 2002. [10] L.L. Chong and L.B. Milstein, ”The effects of channel estimation errors on a space-time spreading CDMA system with dual transmit and dual receive diversity,” IEEE Trans. Commun., vol. 52, pp. 1145-1151, July 2004. [11] R. Narasimhan, ”Error propagation analysis of V-BLAST with channel-estimation errors,” IEEE Trans. Commun., vol. 53, pp. 27-31, Jan. 2005. [12] T. Weber, A. Sklavos and M. Meurer, ”Imperfect channel-state information in MIMO transmission,” IEEE Trans. Commun., vol. 54, pp. 543-552, Mar. 2006. [13] P. Garg, R.K. Mallik and H.M. Gupta, ”Performance analysis of space-time coding with imperfect channel estimation,” IEEE Trans. Wireless Commun., vol. 4, pp. 257-265, Jan. 2005. [14] S.A. Zummo and W.E. Stark, ”Error probability of coded STBC systems in block fading environments,” IEEE Trans. Wireless Commun., vol. 5, pp. 972-977, May 2006. [15] E. Baccarelli and M. Biagi, ”Performance and optimized design of space-time codes for MIMO wireless systems with imperfect channel estimates,” IEEE Trans. Signal Processing, vol. 52, pp. 2911-2923, Oct. 2004. [16] D.V. Duong and G.E. Oien, ”Optimal pilot spacing and power in rate-adaptive MIMO diversity systems with imperfect CSI,” IEEE Trans. Wireless Commun., vol. 6, pp. 845-851, Mar. 2007. [17] E. Baccarelli, M. Biagi and C. Pelizzoni, ”On the information throughput and optimized power allocation for MIMO wireless systems with imperfect channel estimation,” IEEE Trans. Signal Processing, vol. 53, pp. 2335-2347, July 2005. [18] X.Wang and J.Wang, ”Effect of imperfect channel estimation on transmit diversity in CDMA systems,” IEEE Trans. Vehi. Technol., vol. 53, pp. 1400-1412, Sept. 2004. [19] V. Tarokh, A. Naguib, N. Seshadri and A.R. Calderbank, ”Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths,” IEEE Trans. Commun., vol. 47, pp. 199-207, Feb. 1999. [20] G. Taricco and E. Biglieri, ”Space-time decoding with imperfect channel estimation,” IEEE Trans. Wireless Commun., vol. 4, pp. 1874-1888, July 2005. [21] Y. Chen and N.C. Beaulieu, ”Novel diversity receivers in the presence of Gaussian channel estimation errors,” IEEE Trans. Wireless Commun., vol. 5, pp. 2022-2025, Aug. 2006. [22] S. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Upper Saddle River, NJ: Prentice-Hall, 1993. [23] D.-S. Shiu, G.J. Foschini, M.J. Gans and J.M. Kahn, ”Fading correlation and its effect on the capacity of multelement antenna systems,” IEEE Trans. Commun., vol. 48, pp. 502-513, Mar. 2000. [24] T.-A. Chen, M.P. Fitz, M.P. Zoltowski, W.-Y. Kuo and J.H. Grimm, ”A space-time model for frequency nonselective Rayleigh fading channels with applications to space-time modems,” IEEE J. Select. Areas Commun., vol. 18, pp. 1175- 1190, July 2000.
URI: http://wrap.warwick.ac.uk/id/eprint/2179

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