Training for MIMO communications

Space-Time Wireless Systems: From Array Processing to MIMO Communications

Volumn 9780521851053, Issue , 2006, Pages 342-362

  Sung, Youngchul ^a   Sung, Tae Eung ^a   Sadler, Brian M ^b   Tong, Lang ^a  

^a Department of Obstetrics Gynecology   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL STATE INFORMATION; DATA COMMUNICATION SYSTEMS; EMBEDDED SYSTEMS; MIMO SYSTEMS; RECEIVING ANTENNAS;

MIMO COMMUNICATION; MIMO COMMUNICATION SYSTEM; OPTIMAL PILOT SEQUENCES; RECEIVER ARCHITECTURE; RECEIVER IMPLEMENTATION; SPACE-TIME TECHNIQUES; THEORETICAL FRAMEWORK; TRAINING SIGNAL DESIGN;

CHANNEL ESTIMATION;

EID: 69549147209     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511616815.018     Document Type: Chapter

References (45)

1. Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE J. Set Areas Commun., 16 (8), 1451-1458.
2. Baltersee, J., Fock, G., and Meyr, H. (2001). Achievable rate of MIMO channels with data-aided channel estimation and perfect interleaving. IEEE J. Sel. Areas Commun., 19 (12), 2358-2368.
3. Barhumi, I., Leus, G., and Moonen, M. (2003). Optimal training design for MIMO OFDM systems in mobile wireless channels. IEEE Trans. Signal Process., 51 (6), 1615-1624.
4. Biglieri, E., Proakis, J., and Shamai, S. (1998). Fading channels: Information-theoretic and communications aspects. IEEE Trans. Inf. Theory, 44 (6), 2619-2692.
5. Bolcskei, H., Gesbert, D., and Paulraj, A. J. (2002). On the capacity of OFDM-based spatial multiplexing systems. IEEE Trans. Commun., 50 (2), 225-234.
6. Budianu, C. and Tong, L. (2002). Channel estimation for space-time block coding systems. IEEE Trans. Signal Process., 50 (10), 2515-2528.
7. Caire, G. and Shamai, S. (1999). On the capacity of some channels with channel state information. IEEE Trans. Inf. Theory, 45 (6), 2007-2019.
8. de Carvalho, E. and Slock, D. T. M. (1997). Cramer-Rao bounds for semi-blind, blind and training sequence based channel estimation. In Proc. IEEE Workshop Signal Process. Advances Wireless Commun., 129-132.
9. Diggavi, S. and Cover, T. (2001). The worst additive noise under a covariance constraint. IEEE Trans. Inf. Theory, 47 (7), 3072-3081.
10. Dong, M. and Tong, L. (2002). Optimal design and placement of pilot symbols for channel estimation. IEEE Trans. Signal Process., 50 (6), 3055-3069.
11. Dong, M., Tong, L., and Sadler, B. (2004). Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels. IEEE Trans. Signal Process., 52 (5), 1403-1418.
12. Fan, P. and Mow, W. (2004). On optimal training sequence design for multiple-antenna systems over dispersive fading channels and its extensions. IEEE Trans. Veh. TechnoL, 53 (5), 1623-1626.
13. Foschini, G. J. (1996). Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Tech. J., 1 (2), 41-59.
14. Giannakis, G. and Tepedelenlioglu, C. (1998). Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels. Proc. IEEE, 86 (10), 1969-1986.
15. Guey, J., Fitz, M., Bell, M., and Kuo, W. (1999). Signal design for transmitter diversity wireless communication systems over Rayleigh fading channels. IEEE Trans. Commun., 47 (4), 527-537.
16. Hassibi, B. and Hochwald, B. (2003). How much training is needed in multiple-antenna wireless links. IEEE Trans. Inf. Theory, 49 (4), 951-963.
17. Jakes, W. (1974). Microwave Mobile Communications (Wiley, New York).
18. Komninakis, C, Fragouli, C, Sayed, A., and Wesel, R. D. (2002). Multi-input multi-output fading channel tracking and equalization using Kalman estimation. IEEE Trans. Signal Process., 50 (5), 1065-1076.
19. Kozick, R. J., Sadler, B. M., and Moore, T. (2003). Performance of MIMO: CM and semi-blind cases. In Proc. IEEE Workshop Signal Process. Advances Wireless Commun., 309-313.
20. Lapidoth, A. and Narayan, P. (1998). Reliable communication under channel uncertainty. IEEE Trans. Inf. Theory, 44 (6), 2148-2177.
21. Lapidoth, A. and Shamai, S. (2002). Fading channels: How perfect need 'perfect side information' be. IEEE Trans. Inf. Theory, 48 (5), 1118-1134.
22. Larsson, E. and Li, J. (2001). Preamble design considerations for multiple-antenna OFDM based WLANs. IEEE Signal Process. Lett, 8 (11), 285-288.
23. Li, Y., Seshadri, N., and Ariyavisitakul, S. (1999). Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels. IEEE J. Sel. Areas Commun., 17 (3), 461-471.
24. Ma, X., Yang, L., and Giannakis, G. B. (2002). Optimal training for MIMO frequency-selective fading channels. In Proc. Asilomar Conf. Signals, Syst., Comput., vol. 2, 1107-1111.
25. Marzetta, T. (1999). BLAST training: Estimating channel characteristics for high capacity space-time wireless. In Proc. Ann. Allerton Conf. Commun., Contr., Comput., 958-966.
26. Medard, M. (2000). The effect upon channel capacity in wireless communication of perfect and imperfect knowledge of the channel. IEEE Trans. Inf. Theory, 46 (3), 933-946.
27. Merhav, N., Kaplan, G., Lapidoth, A., and Shamai, S. (1994). On information rates 362
28. Y. Sung, T. E. Sung, B. M. Sadler, and L. Tong for mismatched decoders. IEEE Trans. Inf. Theory, 40 (6), 1953-1967.
29. Moore, T. and Sadler, B. M. (2004). Sufficient conditions for regularity and strict identifiability in MIMO systems. IEEE Trans. Signal Process., 52 (9), 2650-2655.
30. Sadler, B. M. and Kozick, R. J. (2000). Bounds on uncalibrated array signal processing. In Proc. IEEE Workshop Statistical Signal and Array Process 73-77.
31. Sadler, B. M., Kozick, R. J., and Moore, T. (2001a). Bounds on bearing and symbol estimation with side information. IEEE Trans. Signal Process., 49 (4), 822-834.
32. Sadler, B. M., Kozick, R. J., and Moore, T. (2001b). Bounds on MIMO channel estimation and equalization with side information. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 4, 2145-2148.
33. Silverstein, S. D. (1997). Application of orthogonal codes to the calibration of active phased array antennas for communication satellites. IEEE Trans. Signal Process., 45 (1), 206-218.
34. Stoica, P. and Ng, B. (1998). On the Cramer-Rao bound under parametric constraints. IEEE Signal Process. Lett, 5 (7), 177-179.
35. Telatar, L E. (1999). Capacity of multi-antenna Gaussian channels. Eur. Trans. Telecomm, 10 (6), 585-596.
36. Tong, L., Sadler, B. M., and Dong, M. (2004). Pilot-assisted wireless transmissions. IEEE Signal Process. Mag., 21 (6), 12-25.
37. Tung, T. L., Yao, K., and Hudson, R. E. (2001). Channel estimation and adaptive power allocation for performance and capacity improvement of multiple-antenna OFDM systems. In Proc. IEEE Workshop Signal Process. Advances Wireless Commun., 82-85.
38. Van Trees, H. L. (1968). Detection, Estimation and Modulation Theory, vol. 1 (Wiley, New York).
39. Vosoughi, A. and Scaglione, A. (2003). Channel estimation for precoded MIMO systems. In Proc. IEEE Workshop Statistical Signal Process., 442-445.
40. Vosoughi, A. and Scaglione, A. (2004). The best training depends on the receiver architecture. In Proc. IEEE Int. Conf. Acoust, Speech, Signal Process., vol. 4, 409-412.
41. Weinstein, E. and Weiss, A. (1988). A general class of lower bounds in parameter estimation. IEEE Trans. Inf. Theory, 34 (2), 338-342.
42. Wolniansky, P., Foschini, G., Golden, G., and Valenzuela, R. (1998). V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Proc. URSI Int. Symp. Signals, Syst., Electron., 295-300.
43. Wong, T. and Park, B. (2004). Training sequence optimization in MIMO systems with colored interference. IEEE Trans. Commun., 52 (11), 1939-1947.
44. Yang, L., Ma, X., and Giannakis, G. B. (2004). Optimal training for MIMO fading channels with time- and frequency-selectivity. In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 3, 821-824.
45. Yang, S. and Wu, J. (2002). Optimal binary training sequence design for multiple-antenna systems over dispersive fading channels. IEEE Trans. Veh. Technol, 51 (5), 1271-1276.