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.
| Published in | International Journal of Wireless Communications and Mobile Computing (Volume 4, Issue 2) |
| DOI | 10.11648/j.wcmc.20160402.14 |
| 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), 2016. Published by Science Publishing Group |
Array Design, UWB, MIMO, Entropy, PSO
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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
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
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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Download@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://article.sciencepublishinggroup.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}
}
TY - JOUR 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 N1 - https://doi.org/10.11648/j.wcmc.20160402.14 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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