paper 150204115350

Published: 2015-07-09

Research on Ka Rough Ocean Surface Channel Modeling Based on Stochastic Processes

Xiaodong Cao,

Xiaodong Cao

Harbin Engineering University, China

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Tao Jiang,

Tao Jiang

Harbin Engineering University, China

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Xiaojun Wang

Harbin Engineering University, China

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1958-1962

Abstract

It is presented in this paper that a channel modeling technique based on GTD and stochastic bridge, which may boost the usage of low elevation angle Ka or higher frequency satellite down-link radio propagation prediction and estimation. First, it is introduced a random rough ocean surface modeling method under typical ocean states which is the foundation and the first step for electromagnetic simulation of telecommunication channel. Second, a huge data ocean surface reflection, scattering and diffraction based on GTD algorithm are calculated by high performance computer to provide a large number of samples for channel modeling. Third, a multipath channel model is set up to describe the statistical properties of received signal waveform which is modified by rough ocean surface. Last, all the steps are summed up and discussed to show the benefits of the presented modeling technique.

Citation

Xiaodong Cao, Tao Jiang, and Xiaojun Wang, "Research on Ka Rough Ocean Surface Channel Modeling Based on Stochastic Processes," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1958-1962

References

1. Bullington, K., "Radio propagation at frequencies above 30 Megacycles," Proceedings of the IRE --- Waves and Electrons Section, Vol. 10, 1222, 1946.
doi:10.1109/jrproc.1947.232600 Google Scholar

2. Richads, J. A., Radio Wave Propagation: An Introduction for the Non-specialist, 6-10, Springer, 2008. Google Scholar

3. Hu, L. and H. Zhu, "Bounded brownian bridge model for UWB indoor multipath channel," IEEE Int. Symp. on Microwave, Antenna, Propagation and EMC Technol. for Wireless Commun. Proc., 1406-1409, Beijing, China, August 2005.
doi:10.1109/mape.2005.1618188 Google Scholar

4. Mouche, A. A., B. Chapron, and N. Reul, "A simplified asymptotic theory for ocean surface electromagnetic wave scattering," Waves in Random and Complex Media, Vol. 17, No. 3, 321-341, 2007.
doi:10.1080/17455030701230261 Google Scholar

5. Kuga, Y. and P. Phu, "Experimental studies of millimeter-wave scattering in discrete random media and from rough surface," Progress In Eletromagnetics Reseach, Vol. 14, 37-88, 1996.
doi:10.2528/pier94010102 Google Scholar

6. Elfouhaily, T., B. Chapron, K. Katsaros, et al., "A unified directional spectrum for long and short wind-driven waves," J. Geophys. Res., Vol. 102, 15781-15796, 1997.
doi:10.1029/97jc00467 Google Scholar

7. Huang, H., D. Wang, and F. Liu, "Modeling of Ka-band mobile satellite channel and ber performance analysis," Journal of University of Science and Technology of China, Vol. 35, No. 3, 346-353, 2005. Google Scholar

8. Hu, L. Q., Stochastic Modeling and Applications for Radio Wave Propagation, Huazhong University of Science and Technology Press, 2011. Google Scholar

9. Primak, S., V. Kontorovitch, and V. Lyandres, Stochastic Methods and Their Applications to Communications: Stochastic Differential Equations Approach, John Wiley & Sons, Inc., NY, 2004. Google Scholar

10. Molisch, A. F., A. Kuchar, J. Laurila, et al., "Geometry-based directional model for mobile radio channels-principles and implementation," European Transactions on Telecommunications, Vol. 14, No. 4, 351-359, 2003.
doi:10.1002/ett.4460140407 Google Scholar