Estimation of nakagami-m fading channel parameters with application to optimized transmitter diversity systems

IEEE Transactions on Wireless Communications

Volumn 2, Issue 2, 2003, Pages 250-259

  Ko, Young Chai ^a   Alouini, Mohamed Slim ^b  

^a TEXAS INSTRUMENTS   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Channel estimation; Cram r rao lower bounds; Fading channels; Maximum likelihood estimation; Transmitter diversity

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY;

CHANNEL ESTIMATION; CRAMÉR-RAO LOWER BOUNDS; FADING CHANNELS; TRANSMITTER DIVERSITY;

RAYLEIGH FADING;

EID: 0842288737     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2003.808963     Document Type: Article

References (21)

1. V. M. Dasilva and E. S. Sousa, "Fading-resistant modulation using several transmitter antennas," IEEE Trans. Commun., vol. 45, pp. 1236-1244, Oct. 1997.
2. J. K. Cavers, "Optimized use of diversity modes in transmitter diversity systems," in Proc. IEEE Vehicular Technology Conf. VTC'99, Apr. 1999, pp. 1768-1773.
3. M. Nakagami, "The m-distribution- A general formula of intensity distribution of rapid fading," in Statistical Methods in Radio Wave Propagation. Oxford, U. K.: Pergamon Press, 1960, pp. 3-36.
4. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 5th ed. San Diego, CA: Academic, 1994.
5. O. L. Stüber, Principles of Mobile Communications. Boston, MA: Kluwer, 1996.
6. K. J. Hole, H. Holm, and G. E. Øien, "Adaptive multidimensional coded modulation over flat fading channel," IEEE J. Select. Areas Commun. Special Issue, vol. 18, pp. 1153-1158, July 2000.
7. R. L. Rardin, Optimization in Operations Research. Upper Saddle River, NJ: Prentice-Hall, 1998.
8. G. A. Korn and T. M. Korn, Mathematical Handbook for Scientists and Engineers, 2nd ed. New York: Dover, 1968.
9. W. T. Webb and L. Hanzo, Modern Quadrature Amplitude Modulation. New York: IEEE Press, 1994.
10. M. Nagao and M. Kadoya, "Two-variate exponential distribution and its numerical table for engineering application," Bull. Disas. Prev. Res. Inst., vol. 20, pp. 183-210, Mar. 1971.
11. K. Bury, Statistical Distributions in Engineering, Isted. Cambridge, U.K.: Cambridge Univ. Press, 1999.
12. S. M. Kay, Fundamentals of Statistical Signal Processing; Estimation Theory, 2nd ed: Prentice-Hall, 1993.
13. J. Cheng and N. C. Beaulieu, "Maximum-likelihood based estimation of the Nakagami m parameter," IEEE Commun. Lett., vol. 5, pp. 101-103, Mar. 2001.
14. Y. C. Ko and M. S. Alouini, "Estimation of Nakagami fading channel parameters with application to optimized transmitter diversity systems," in Proc. IEEE Int. Conf. Communications ICC'01, June 2001, pp. 1690-1695.
15. Q. T. Zhang, "A note on the estimation of Nakagami-m fading parameter," IEEE Commun. Lett., vol. 6, pp. 237-238, June 2002.
16. K. O. Bowman and L. R. Shenton, Properties of Estimators for the Gamma Distribution. New York: Marcel Dekker, 1988.
17. A. Abdi and M. Kaveh, "Performance comparison of three different estimators for the Nakagami-m parameter using Monte Carlo simulation," IEEE Commun. Lett., vol. 4, pp. 119-121, Apr. 2000.
18. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical. Tables, 9th ed. New York: Dover, 1970.
19. M. J. Maron and R. J. Lopez, Numerial Analysis: A Pratical Approach, 3rd ed. Belmont, CA: Wadsworth, 1991.
20. Q. T. Zhang, "A decomposition technique for efficient generation of correlated Nakagami fading channels," IEEE J. Select. Areas Commun., vol. 18, pp. 2385-2392, Nov. 2000.
21. Y.-C. Ko, "Anaylsis techniques for the performance evaluation of wireless communication systems and estimation of wireless channels," Ph.D. dissertation, Univ. Minnesota, Minneapolis, MN, 2001.