Abstract
The performance of wireless communications systems can be significantly improved using the modulation diversity technique which is, basically, based on the combination of a suitable choice of the reference angle of an MPSK constellation with independent interleaving of the symbol components. This technique presents good performance assuming the absence of estimation errors for channels characterized by flat fading. In this article, the performance of this recent technique is analyzed taking into account the effects of channel estimation errors. It is shown, by simulation, that the efficiency of this technique is maintained even under this assumption. Additionally, the impact of the Doppler effect on the system performance is treated and a trade-off between the interleaving depth and the error probability is achieved.
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References
V. M. DaSilva and E. S. Sousa. ”Fading-Resistant Modulation Using Several Transmitter Antennas,” IEEE Transactions on Communications, vol. 45, no. 10, pp. 1236–1244, October 1997.
G. J. Foschini and M. J. Gans. ”On Limits of Wireless Communications in a Fading Environment When Using Multiple Antennas,” Wireless Personal Communications, vol. 6, no. 3, pp. 311–335, March 1998.
V. Tarokh, N. Seshadri and A. R. Calderbank. ”Space-Time Codes for High Data Rate Wireless Communication: Performance Criterion and Code Construction,” IEEE Transactions on Information Theory, vol. 44, no. 2, pp. 744–765, March 1998.
J. H. Winters and R. D. Gitlin. ”The Impact of Antenna Diver-sity on the Capacity of Wireless Communications Systems,” IEEE Transactions on Communications, vol. 42, no. 2/3/4, pp. 1740 – 1751, February/March/April 1994.
N. Seshadri and C. W. Sundberg. ”Multilevel Trellis Coded Modulations for the Rayleigh Fading Channel,” IEEE Trans. Communications, vol. 41, no. 9, September 1993.
J. Wu and S. Lin. ”Multilevel Trellis MPSK Modulation Codes for the Rayleigh Fading Channel,” IEEE Transactions on Communications, vol. 41, no. 9, September 1993.
K. J. Kerpez. ”Constellations for Good Diversity Performance,” IEEE Transactions on Comm munications, vol. 41, no. 9, pp. 1412 – 1421, September 1993.
S. B. Slimane. ”An Improved PSK Scheme for Fading Channels,” IEEE Transactions on Vehicular Technology, vol. 47, no. 2, pp. 703–710, May 1998.
J. Boutros and E. Viterbo. ”Signal Space Diversity: A Power- and Bandwidth-Efficient Diversity Technique for the Rayleigh Fading Channel,” IEEE Transactions on Information Theory, vol. 44, no. 4, pp. 1453–1467, July 1998.
W. T. A. Lopes and M. S. Alencar. ”Space-Time Coding Performance Improvement Using a Rotated Constellation,” In XVIII Brazilian Telecommunication Symposium (SBrT’2000), Gramado, RS, Brazil, September 2000.
J. D. Parsons. The Mobile Radio Propagation Channel. John Wiley, 1992.
W. T. A. Lopes and M. S. Alencar. ”Performance of a Rotated QPSK Based System in a Fading Channel Subject to Estimation Errors,” In IEEE International Microwave and Optoelectronics Conference (IMOC’2001), pp. 27–30, Belém, PA, Brazil, August 2001.
S. S. Haykin. Adaptive Filter Theory. Prentice Hall, 1991.
J. G. Proakis. Digital Communications. McGraw-Hill, New York, 1989.
W. T. A. Lopes, ”Desempenho de um Sistema QPSK com Rotacao na Constelacao em Canais com Desvanecimento Raido Sujeito a Erros de Estimacao de Canal,” Technical report RT00271/01, Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, Campina Grande, PB, Brazil, 2001.
P. Koufalas. ”State Variable Approach to Carrier Phase Recovery and Fine Automatic Gain Control on Flat Fading Channels,” Master’s thesis, University of South Australia, 1996.
A. G. Guimarães, C. J. A. Silva, J. F. Galdino and E. L. Pinto ”Comparacão de Desempenho de Simuladores de Canais com Desvanecimento Rápido: Parte I — Avaliacão Númerica,” In XV Brazilian Telecommunication Symposium (SBT’97), pp. 426–430, Recife, PE, Brazil, September 1997.
A. Müller. ”Simulation of Multipath Fading Channels using the Monte-Carlo Method,” In Proceedings of the IEEE International Conference on Communications (ICC’94), pp. 1536–1540, 1994.
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Lopes, W.T.A., Alencar, M.S., Galdino, J.F. (2003). Modulation Diversity for Wireless Communications: Impact of Channel Estimation Errors and Doppler Effects on System Performance. In: Bhargava, V.K., Poor, H.V., Tarokh, V., Yoon, S. (eds) Communications, Information and Network Security. The Springer International Series in Engineering and Computer Science, vol 712. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3789-9_1
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DOI: https://doi.org/10.1007/978-1-4757-3789-9_1
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