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International Journal of Antennas and Propagation
Volume 2017, Article ID 1615962, 11 pages
Research Article

Tensor-Based Methods for Blind Spatial Signature Estimation in Multidimensional Sensor Arrays

1Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, CE, Brazil
2Department of Electrical Engineering, University of Brasília, DF, Brasília, Brazil
3Institute for Information Technology, Ilmenau University of Technology, Ilmenau, Germany
4Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany

Correspondence should be addressed to Paulo R. B. Gomes; rb.cfu.letg@oluap

Received 10 September 2016; Accepted 15 January 2017; Published 15 February 2017

Academic Editor: Elias Aboutanios

Copyright © 2017 Paulo R. B. Gomes 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Mateus da Rosa Zanatta, Ricardo Kehrle Miranda, Joao Paulo C. L. da Costa, Felix Antreich, and Daniel Valle Lima, “Antenna array based receivers for third generation global positioning system,” 2017 Workshop on Communication Networks and Power Systems (WCNPS), pp. 1–4, . View at Publisher · View at Google Scholar
  • Fangqing Wen, Zijing Zhang, Gong Zhang, Yu Zhang, Xinhai Wang, and Xinyu Zhang, “A Tensor-Based Covariance Differencing Method for Direction Estimation in Bistatic MIMO Radar With Unknown Spatial Colored Noise,” IEEE Access, vol. 5, pp. 18451–18458, 2017. View at Publisher · View at Google Scholar