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International Journal of Antennas and Propagation
Volume 2015 (2015), Article ID 173936, 7 pages
http://dx.doi.org/10.1155/2015/173936
Research Article

Statistical Analysis of Radio Propagation Channel in Ruins Environment

Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Received 10 January 2015; Revised 17 March 2015; Accepted 17 March 2015

Academic Editor: Christoph F. Mecklenbräuker

Copyright © 2015 Jiao He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Zorn, G. Bozsik, R. Rose, A. Goetz, and R. Weigel, “A novel technique for mobile phone localization for search and rescue applications,” in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN '10), pp. 1–4, Zürich, Switzerland, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. J. He, L. S. Chai, X. C. Wei, and E. P. Li, “Radio frequency channel characterization of a novel localization system for rescue in disaster scenarios,” in Proceedings of the General Assembly and Scientific Symposium of the International Union of Radio Science, Beijing, China, 2014.
  3. C. Chen, Y. Guo, Q. Xie, and Z. Xiao, “A new life detecting system research and design based on cell phone detecting,” Instrumentation Customer, vol. 15, no. 3, pp. 12–13, 2008. View at Google Scholar
  4. L. S. Chai, Research of radio channel based on a localization rescue system in disasters [M.S. thesis], Department of Information Sciences and Electrical Engineering, Zhejiang University, Hangzhou, China, 2014.
  5. A. DiCarlofelice, E. DiGiampaolo, M. Feliziani, and P. Tognolatti, “Experimental characterization of electromagnetic propagation under rubble of a historic town after disaster,” IEEE Transactions on Vehicular Technology, 2014. View at Publisher · View at Google Scholar
  6. L. Chen, M. Loschonsky, and L. M. Reindl, “Autoregressive modeling of mobile radio propagation channel in building ruins,” IEEE Transactions on Microwave Theory and Techniques, vol. 60, no. 5, pp. 1478–1489, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. S. J. Howard and K. Pahlavan, “Autoregressive modeling of wide-band indoor radio propagation,” IEEE Transactions on Communications, vol. 40, no. 9, pp. 1540–1552, 1992. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Haykin, Adaptive Filter Theory, Publishing House of Electronics Industry, Beijing, China, 4th edition, 2006.
  9. G. Morrison and M. Fattouche, “Super-resolution modeling of the indoor radio propagation channel,” IEEE Transactions on Vehicular Technology, vol. 47, no. 2, pp. 649–657, 1998. View at Publisher · View at Google Scholar · View at Scopus
  10. D. W. Tufts and R. Kumaresan, “Estimation of frequencies of multiple sinusoids: making linear prediction perform like maximum likelihood,” Proceedings of the IEEE, vol. 70, no. 9, pp. 975–989, 1982. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Qu, Q. Sun, T. Yang, L. Zhang, and Y. Sun, “Time-delay estimation for ground penetrating radar using ESPRIT with improved spatial smoothing technique,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 8, pp. 1315–1319, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. C. L. Bastard, V. Baltazart, Y. Wang, and J. Saillard, “Thin-pavement thickness estimation using GPR with high-resolution and superresolution methods,” IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 8, pp. 2511–2519, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. B. Ottersten, M. Viberg, and T. Kailath, “Performance analysis of the total least squares ESPRIT algorithm,” IEEE Transactions on Signal Processing, vol. 39, no. 5, pp. 1122–1135, 1991. View at Publisher · View at Google Scholar · View at Scopus
  14. A. L. Wang, ESPRIT parameter estimation algorithm in wideband channel system [M.S. thesis], Nanjing University of Posts and Telecommunications, Nanjing, China, 2012.
  15. J. Rissanen, “Modeling by shortest data description,” Automatica, vol. 14, no. 5, pp. 465–471, 1978. View at Publisher · View at Google Scholar · View at Scopus