User mobile device or for wireless node detection localization is a primary concern not only in normal days but especially during emergency situations. There is variety of useful and necessary applications related to localization and it is an important technology playing critical role in wireless communication. The conceptual point of view is to sense the localization (coordinates of the user) from a specific region of interest (ROI). For reducing the complexity and increasing efficiency, the data samples for location sensing is limited in a term of taking sparsity of the detected signal in known transformed domain by taking fewer data samples. This whole phenomenon is called compressive sensing. This paper introduces this technology especially in location-sensing and discusses the present techniques.
| Published in |
International Journal of Wireless Communications and Mobile Computing (Volume 3, Issue 2-1)
This article belongs to the Special Issue Localization by Compressive Sensing |
| DOI | 10.11648/j.wcmc.s.2015030201.11 |
| Page(s) | 1-5 |
| 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), 2014. Published by Science Publishing Group |
Cognitive Radio, Localization, Mobile Networks, Wireless Networks, Sparsity, Compressive Sensing, Signal Detection
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APA Style
A. Ali. (2014). Localization through Compressive Sensing: A Survey. International Journal of Wireless Communications and Mobile Computing, 3(2-1), 1-5. https://doi.org/10.11648/j.wcmc.s.2015030201.11
ACS Style
A. Ali. Localization through Compressive Sensing: A Survey. Int. J. Wirel. Commun. Mobile Comput. 2014, 3(2-1), 1-5. doi: 10.11648/j.wcmc.s.2015030201.11
AMA Style
A. Ali. Localization through Compressive Sensing: A Survey. Int J Wirel Commun Mobile Comput. 2014;3(2-1):1-5. doi: 10.11648/j.wcmc.s.2015030201.11
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Download@article{10.11648/j.wcmc.s.2015030201.11,
author = {A. Ali},
title = {Localization through Compressive Sensing: A Survey},
journal = {International Journal of Wireless Communications and Mobile Computing},
volume = {3},
number = {2-1},
pages = {1-5},
doi = {10.11648/j.wcmc.s.2015030201.11},
url = {https://doi.org/10.11648/j.wcmc.s.2015030201.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.s.2015030201.11},
abstract = {User mobile device or for wireless node detection localization is a primary concern not only in normal days but especially during emergency situations. There is variety of useful and necessary applications related to localization and it is an important technology playing critical role in wireless communication. The conceptual point of view is to sense the localization (coordinates of the user) from a specific region of interest (ROI). For reducing the complexity and increasing efficiency, the data samples for location sensing is limited in a term of taking sparsity of the detected signal in known transformed domain by taking fewer data samples. This whole phenomenon is called compressive sensing. This paper introduces this technology especially in location-sensing and discusses the present techniques.},
year = {2014}
}
TY - JOUR T1 - Localization through Compressive Sensing: A Survey AU - A. Ali Y1 - 2014/11/29 PY - 2014 N1 - https://doi.org/10.11648/j.wcmc.s.2015030201.11 DO - 10.11648/j.wcmc.s.2015030201.11 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 - 1 EP - 5 PB - Science Publishing Group SN - 2330-1015 UR - https://doi.org/10.11648/j.wcmc.s.2015030201.11 AB - User mobile device or for wireless node detection localization is a primary concern not only in normal days but especially during emergency situations. There is variety of useful and necessary applications related to localization and it is an important technology playing critical role in wireless communication. The conceptual point of view is to sense the localization (coordinates of the user) from a specific region of interest (ROI). For reducing the complexity and increasing efficiency, the data samples for location sensing is limited in a term of taking sparsity of the detected signal in known transformed domain by taking fewer data samples. This whole phenomenon is called compressive sensing. This paper introduces this technology especially in location-sensing and discusses the present techniques. VL - 3 IS - 2-1 ER -
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