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Performance of Uniform Concentric Circular Arrays in a Three-Dimensional Spatial Fading Channel Model

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Abstract

In this paper, the performance of uniform concentric circular arrays (UCCA) for multiple-input multiple-output (MIMO) receiver in a three-dimensional (3D) multi-path channel is investigated. Firstly, the analytical expressions for antenna spatial fading correlation and electromagnetic vector sensor (EVS) at each element are derived, where the UCCA configuration for MIMO receiver is considered. Then the effect of the angular parameters associated with the mean azimuth of arrival, azimuth spread, mean elevation of arrival, and elevation spread on the system performance is presented. The numerical and simulation results indicate that the excellent performance of the proposed UCCA MIMO antenna array system. In addition, comparisons between our theoretical results of the UCCA–EVS antenna array with previous ULA and UCA antenna array show that the analysis is accurate and applicable to depict the 3D spatial fading channel model.

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References

  1. Jakes, W. (1974). Microwave mobile communications. New York: Willy.

    Google Scholar 

  2. Fulghun, T., & Molnar, K. (1998). The jakes fading model incorporating angular spread for a disk of scatterers. In IEEE transactions on vehicular technology conference (pp. 489–493). Ottawa, 18–21 May 1998.

  3. Kim, J.K., & Kim, J.B. (2011). Capacity of frequency selective fading channel in MIMO single frequency network for 3D-HDTV terrestrial broadcasting. In IEEE transactions on consumer electronics conference (pp. 423–424). Las Vegas, NV, January 9–12, 2011.

  4. Foschini, G. J., & Gans, M. J. (1998). On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications, 6(3), 495–502.

    Article  Google Scholar 

  5. Shui, D., Foschini, G. J., Gans, M. J., & Gans, M. J. (2000). Fading correlation and its effect on the capacity of multielement antenna systems. IEEE Transactions on Communication, 48(3), 502–513.

    Article  Google Scholar 

  6. Tafvizi, H.R., & Wang, Z. (2011). Multipath fading effect on spatial packet loss correlation in wireless networks. In IEEE vehicular technology conference (pp. 1–5). San Francisco, CA, September 5–8, 2011.

  7. Salz, J., & Winters, J. H. (1994). Effect of fading correlation on adaptive arrays in digital mobile radio. IEEE Transactions on Vehicular Technology Conference, 43(4), 1049–1057.

    Article  Google Scholar 

  8. Durrani, S., & Bialkowski, M.E. (2004). Effect of angular energy distribution of an incident signal on the spatial fading correlation of a uniform linear array. In Proceedings of the 15th international conference on microwaves, radar and wireless communication (pp. 493–496). May 17–19, 2004.

  9. Zhou, J., Cao, Z. G., & Hisakazu, K. (2014). Asymmetric geometrical-based statistical channel model and its multiple-input and multiple-output capacity. IET Communications, 8(1), 1–10.

    Article  Google Scholar 

  10. Chan, S. C., & Chen, H. H. (2007). Uniform concentric circular arrays with frequency-invariant characteristics-theory, design, adaptive beamforming and DOA estimation. IEEE Transactions on Signal Processing, 55(1), 165–177.

    Article  MathSciNet  Google Scholar 

  11. Chen, H. H., & Chan, S. C. (2007). Adaptive beamforming using frequency invariant uniform concentric circular arrays. IEEE Transactions on Circuit and Systems I, 54(7), 1938–1949.

    Article  Google Scholar 

  12. Lee, Ju-Hong., & Li, S.-I., (2009). Spatial correlation characteristics of antenna systems using uniform concentric ring arrays. In IEEE digital signal processing 16nd conference (pp. 1–6). Santorini-Hellas, July 5–7, 2009.

  13. Lee, Ju-Hong., & Li, S.-I. (2011). Three-dimensional spatial correlation characteristics of concentric ring antenna array systems. In IEEE digital signal processing 17nd conference (pp. 1–6). Corfu, Greece, July 6–8, 2011.

  14. Mammasis, K., & Stewart, R. W. (2009). Spatial fading correlation model using mixtures of von mises fisher distributions. IEEE Transactions on Wireless Communication, 8(4), 2046–2055.

    Article  Google Scholar 

  15. Yong, S.K., & Thompson, J.S. (1994). A 3-dimensional spatial fading correlation model for electromagnetic vector sensors. In IEEE international symposium on antenna propagation and empirical theory Beijing, China, October 1994 Academic.

  16. Yong, S. K., & Thompson, J. S. (2005). Three dimensional spatial fading correlation models for compact MIMO receivers. IEEE Transactions on Wireless Communication, 4(6), 2856–2869.

    Article  Google Scholar 

  17. Kuchar, A., Rossi, J. P., & Bonek, E. (2000). Directional macro-cell channel characterization from urban measurements. IEEE Transactions on Antennas and Propagation, 48(2), 137–146.

    Article  Google Scholar 

  18. Fuhl, J., Rossi, J. P., & Bonek, E. (1997). High-resolution 3-D direction-of-arrival determination for urban mobile radio. IEEE Transactions on Antennas and Propagation, 45(4), 672–682.

    Article  Google Scholar 

  19. Kalliola, K., Sulonen, K., & Kivekas, O. (2002). Angular power distribution and mean effective gain of mobile antenna in different propagation environments. IEEE Transactions on Vehicular Technology, 51(5), 823–838.

    Article  Google Scholar 

  20. Nehorai, A., & Paldi, E. (1994). Vector-sensor array processing for electromagnetic source localization. IEEE Transaction on Signal Processing, 42(2), 376–398.

    Article  Google Scholar 

  21. Andrews, M. R., Mitra, P. P., & de Carvalho, R. (2001). Tripling the capacity of wireless communications using electromagnetic polarization. Nature, 409(6818), 316–318.

    Article  Google Scholar 

  22. Wong, K. T., & Xin, Y. (2011). Vector cross-product direction-finding with an electromagnetic vector-sensor of six orthogonally oriented but spatially noncollocating dipoles/loops. IEEE Transactions on Signal Processing, 59(1), 160–171.

    Article  MathSciNet  Google Scholar 

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Acknowledgments

We thank Professor Fumiyuki Adachi, Department of Electrical and Electronic Engineering, Tohoku University, Japan, for helping us complete this study successfully. This research was supported by the National Nature Science Foundation of China (No. 61372128 and 61471153), the Scientific and Technological Support Project (Industry) of Jiangsu Province (No. 14KJA510001), and a project funded by the priority academic program development of the Jiangsu higher education institutions. We would also like to thank the anonymous reviewers for their constructive comments, which greatly helped improve the paper.

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Correspondence to Jie Zhou.

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Zhou, J., Jiang, H. & Kikuchi, H. Performance of Uniform Concentric Circular Arrays in a Three-Dimensional Spatial Fading Channel Model. Wireless Pers Commun 83, 2949–2963 (2015). https://doi.org/10.1007/s11277-015-2575-z

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