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Short: Blind Separation of the Multiarray Multisensor Systems Using the CP Decomposition

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Networked Systems (NETYS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8593))

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Abstract

Sensor arrays are used in many applications, where their ability to localize signal sources is essential. One of the sensor applications is the signal processing of multi antennas with multi sensors. In this paper, we present an application of the proposed Canonical Polyadic decomposition (CP decomposition), with isolation of scaling matrix to multiarray multisensor systems. A simple blind receiver based on the enhanced alternating least squares (E-ALS) algorithm is presented. For illustrating this application, computer simulations are provided and demonstrate the good behavior of these algorithm compared to the old ALS algorithm.

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Authors and Affiliations

  1. University Mohamed V-Agdal, LRIT Associated Unit to the CNRST-URAC N29, Avenue des Nations Unies, Agdal, BP.554, Rabat-Chellah, Morocco

    Awatif Rouijel, Khalid Minaoui & Driss Aboutajdine

  2. GIPSA-Lab, CNRS UMR5216, Grenoble Campus, BP.46, 38402, St Martin d’Heres Cedex, France

    Pierre Comon

Authors
  1. Awatif Rouijel
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  2. Khalid Minaoui
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  3. Pierre Comon
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  4. Driss Aboutajdine
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Corresponding author

Correspondence to Awatif Rouijel .

Editor information

Editors and Affiliations

  1. Northeastern University, Boston, Massachusetts, USA

    Guevara Noubir

  2. Université de Rennes 1, Rennes Cedex, France

    Michel Raynal

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Rouijel, A., Minaoui, K., Comon, P., Aboutajdine, D. (2014). Short: Blind Separation of the Multiarray Multisensor Systems Using the CP Decomposition. In: Noubir, G., Raynal, M. (eds) Networked Systems. NETYS 2014. Lecture Notes in Computer Science(), vol 8593. Springer, Cham. https://doi.org/10.1007/978-3-319-09581-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-09581-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09580-6

  • Online ISBN: 978-3-319-09581-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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