International Journal of Wireless Communications and Mobile Computing

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An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging

Received: 04 May 2016    Accepted:     Published: 09 May 2016
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Abstract

A novel approach to design the position of linear Multiple-Input Multiple-Output (MIMO) array elements for short-range UWB imaging is proposed. The proposed method uses Particle Swarm Optimization (PSO) algorithm to determine the optimal MIMO antenna array topologies that can provide minimum entropy of the reconstructed image. According to the approach, a MIMO array is optimized with minimum entropy indicating high focusing quality.

DOI 10.11648/j.wcmc.20160402.14
Published in International Journal of Wireless Communications and Mobile Computing (Volume 4, Issue 2, March 2016)
Page(s) 32-36
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Array Design, UWB, MIMO, Entropy, PSO

References
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Author Information
  • Department of Communication and Command, Chongqing Communication College, Chongqing, China

  • Department of Clinical Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, China

  • Department of Communication and Command, Chongqing Communication College, Chongqing, China

  • Department of Communication and Command, Chongqing Communication College, Chongqing, China

Cite This Article
  • APA Style

    Li Zhi, Zhang Jianwen, Shen Yu, Hu Jun. (2016). An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging. International Journal of Wireless Communications and Mobile Computing, 4(2), 32-36. https://doi.org/10.11648/j.wcmc.20160402.14

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    ACS Style

    Li Zhi; Zhang Jianwen; Shen Yu; Hu Jun. An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging. Int. J. Wirel. Commun. Mobile Comput. 2016, 4(2), 32-36. doi: 10.11648/j.wcmc.20160402.14

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    AMA Style

    Li Zhi, Zhang Jianwen, Shen Yu, Hu Jun. An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging. Int J Wirel Commun Mobile Comput. 2016;4(2):32-36. doi: 10.11648/j.wcmc.20160402.14

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  • @article{10.11648/j.wcmc.20160402.14,
      author = {Li Zhi and Zhang Jianwen and Shen Yu and Hu Jun},
      title = {An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {4},
      number = {2},
      pages = {32-36},
      doi = {10.11648/j.wcmc.20160402.14},
      url = {https://doi.org/10.11648/j.wcmc.20160402.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.wcmc.20160402.14},
      abstract = {A novel approach to design the position of linear Multiple-Input Multiple-Output (MIMO) array elements for short-range UWB imaging is proposed. The proposed method uses Particle Swarm Optimization (PSO) algorithm to determine the optimal MIMO antenna array topologies that can provide minimum entropy of the reconstructed image. According to the approach, a MIMO array is optimized with minimum entropy indicating high focusing quality.},
     year = {2016}
    }
    

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    T1  - An Entropy-Based MIMO Array Optimization for Short-Range UWB Imaging
    AU  - Li Zhi
    AU  - Zhang Jianwen
    AU  - Shen Yu
    AU  - Hu Jun
    Y1  - 2016/05/09
    PY  - 2016
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    DO  - 10.11648/j.wcmc.20160402.14
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
    SP  - 32
    EP  - 36
    PB  - Science Publishing Group
    SN  - 2330-1015
    UR  - https://doi.org/10.11648/j.wcmc.20160402.14
    AB  - A novel approach to design the position of linear Multiple-Input Multiple-Output (MIMO) array elements for short-range UWB imaging is proposed. The proposed method uses Particle Swarm Optimization (PSO) algorithm to determine the optimal MIMO antenna array topologies that can provide minimum entropy of the reconstructed image. According to the approach, a MIMO array is optimized with minimum entropy indicating high focusing quality.
    VL  - 4
    IS  - 2
    ER  - 

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