A Simulation Study on Channel Estimation for Cooperative Communication System in Sand-dust Storm Environment


There are many factors that influence the propagation of electromagnetic wave in the sand-dust storm environment, the scattering effect of dust particle is one of the major factors, so this paper focuses on the dust particles scattering function. The scattering of dust particles inevitably brings the multipath transmission of the signal, multipath propagation will bring the multipath fading of the signal. In this paper, we first investigate the use of AF and DF modes in a sand-dust storm environment. Secondly, we present a low-order modulation method should be used in cooperative communication system. Lastly, we evaluate the system performance for both of the moving nodes and power allocation. Experimental results validate the conclusion of theoretical derivation: the multipath fading is one of the main factors that affect the quality of signal transmission. Cooperative communication technology has good anti-fading ability, which can guarantee the signal transmission timely and correctly.

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Sun, X. , Cao, Y. and Che, J. (2013) A Simulation Study on Channel Estimation for Cooperative Communication System in Sand-dust Storm Environment. Communications and Network, 5, 15-21. doi: 10.4236/cn.2013.53B2004.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] A. Goldmith, H. W. Yang, W. D. Li and W. B. Guo, “Wireless Communication,” People's Posts and Telecommunications Press, 2007.
[2] J. N. Laneman, D. N. C. Tse and G. W. Wornell. “Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior,” IEEE Transactions on Information Theory, Vol. 50, 2004, pp. 3062-3080. doi:10.1109/TIT.2004.838089
[3] M. K. Simon and M. S. Alouini, “Digital Communication over Generalized Fading Channels: A Unified Approach to Performance Analysis,” IEEE 14th International Conference on Communication Technology, Vol. 86, 1998, No. 9, pp. 1860-1877.
[4] L. Hao, W. Yang and T. W. Wu, “The Optical Properties of Dust Aerosols and Radiation Force Effect,” The Chinese desert, Vol. 30, No. 6, 2010, pp. 1477-1782.
[5] N. Huang, X. J. Zheng and G. T. Chen, “Advances on Research of Sand-dust Storm Disturbing Radio Wave’s Propagation,” The Chinese desert, Vol. 18, No. 4, 1998, pp. 755-353.
[6] X. M. Wu, “Sandstorm Affect Microwave, Millimeter Wave Propagation,” Xi 'an University of Electronic Science and Technology, 1993.
[7] W. Y. Yin and J. M. Xiao, “The Effects of Sand and Dust Storm on Microwave Links,” Journal of China Institute od Communications, Vol. 12, No. 51991.
[8] T. S. Chu, “Effects of Sand Storms on Microwave Propagation,” The Bell System Technical, Vol. 58, No. 2, 1979, pp. 549-553. doi:10.1002/j.1538-7305.1979.tb02234.x
[9] R. K. Yang, D.-J. Jian and R.-H. Yao, “Research on Attenuation and the Two-Frequency Mutual Coherence Function for Millimeter Wave Propagation in the Sand and Dust Storm,” Journal of Xi 'an University of Electronic Science and Technology (Natural Science Edition), Vol. 12, No. 34, 2007, pp. 953-957.
[10] J. W. Craig, “A New, Simple and Exact Result for Calculating the Probability of Error for Two-dimensional Signal Constellations,” IEEE MILCOM, Boston, MA, Vol. 25, No. 5, 1991, pp. 1-5.
[11] S. I. Ghobrial, “Effect of Hygdroscopic Water on Dielectric Constant of Dust at X-band,” Electronics Letters, Vol. 16, No. 10, 1980, pp. 393-394.doi:10.1049/el:19800277
[12] X. J. Zheng, Z. W. Gao and Y. H. Zhou, “Electromagnetic Wave Monte Carlo Simulation of Propagation in a Sandstorm,”Journal of science in China, Vol. 38, 2008, pp. 955-961.
[13] X. J. Zheng, X. C. Li and L. Xie, “Cross Depolarization Effect of Electromagnetic Wave by Partially Charged Spherical Sands in Sandstorms,” Journal of Desert Research, Vol. 31, 2011, pp. 567-570.
[14] G. W. Wornell and J. N. Laneman, “Energy-efficient Antenna Sharing and Relaying for Wireless Networks,” In Proc. IEEE Wireless Comm. And Net. Conference (WCNC2000). Chicago, USA, 7-12 September 2000.
[15] F. Elis a. “A New Permittivity Model for the Microwave Moisture Measurement of Wet Sand,” 33rd Europe a Microw Ave Conference-munich, 2003, pp. 539-542.

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