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Statistics of multipath component clustering in an office environment

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Abstract
In this paper, directional MIMO measurements in an indoor office environment are presented. A 5-D ESPRIT estimation algorithm is used to extract parameters associated with discrete propagation paths, such as their azimuth of arrival, azimuth of departure, delay, and power. The estimated path parameters are grouped into clusters using the statistical K-power-means algorithm. Statistical distributions are determined for the path parameters within individual clusters and for their change between clusters. To validate the distributional choices, the goodness-of-fit to the proposed distributions is verified using statistical hypothesis tests with sufficient power.
Keywords
MIMO communication, estimation theory, statistical distributions

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Citation

Please use this url to cite or link to this publication:

Chicago
Tanghe, Emmeric, Wout Joseph, M Lienard, A Nasr, P Stefanut, Luc Martens, and P Degauque. 2010. “Statistics of Multipath Component Clustering in an Office Environment.” In Antennas and Propagation, 4th European Conference, Proceedings. Piscataway, NJ, USA: IEEE.
APA
Tanghe, E., Joseph, W., Lienard, M., Nasr, A., Stefanut, P., Martens, L., & Degauque, P. (2010). Statistics of multipath component clustering in an office environment. Antennas and Propagation, 4th European conference, Proceedings. Presented at the 4th European conference on Antennas and Propagation (EuCAP 2010), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Tanghe E, Joseph W, Lienard M, Nasr A, Stefanut P, Martens L, et al. Statistics of multipath component clustering in an office environment. Antennas and Propagation, 4th European conference, Proceedings. Piscataway, NJ, USA: IEEE; 2010.
MLA
Tanghe, Emmeric, Wout Joseph, M Lienard, et al. “Statistics of Multipath Component Clustering in an Office Environment.” Antennas and Propagation, 4th European Conference, Proceedings. Piscataway, NJ, USA: IEEE, 2010. Print.
@inproceedings{1168403,
  abstract     = {In this paper, directional MIMO measurements in an indoor office environment are presented. A 5-D ESPRIT estimation algorithm is used to extract parameters associated with discrete propagation paths, such as their azimuth of arrival, azimuth of departure, delay, and power. The estimated path parameters are grouped into clusters using the statistical K-power-means algorithm. Statistical distributions are determined for the path parameters within individual clusters and for their change between clusters. To validate the distributional choices, the goodness-of-fit to the proposed distributions is verified using statistical hypothesis tests with sufficient power.},
  author       = {Tanghe, Emmeric and Joseph, Wout and Lienard, M and Nasr, A and Stefanut, P and Martens, Luc and Degauque, P},
  booktitle    = {Antennas and Propagation, 4th European conference, Proceedings},
  isbn         = {9781424464319},
  keyword      = {MIMO communication,estimation theory,statistical distributions},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {5},
  publisher    = {IEEE},
  title        = {Statistics of multipath component clustering in an office environment},
  year         = {2010},
}

Web of Science
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