In this study, time varying channel estimation problem was realized by using Kalman Filters. In the first part of the study, the introduction and some definitions were given. In the second part, the problem was analyzed and some useful theoretical and practical informations were given. In the third part of the study, the method Kalman Filters were explained and the simulation algorithm was given. In the last part of the study the simulation results were given and these results were explained and commented.
| Published in | Advances in Wireless Communications and Networks (Volume 1, Issue 3) |
| DOI | 10.11648/j.awcn.20150103.11 |
| Page(s) | 17-20 |
| 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 |
Kalman Filters, Communication Channels, Channel Estimation
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APA Style
Korhan Cengiz. (2015). Time Varying Communication Channel Estimation Using Kalman Filters. Advances in Wireless Communications and Networks, 1(3), 17-20. https://doi.org/10.11648/j.awcn.20150103.11
ACS Style
Korhan Cengiz. Time Varying Communication Channel Estimation Using Kalman Filters. Adv. Wirel. Commun. Netw. 2015, 1(3), 17-20. doi: 10.11648/j.awcn.20150103.11
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Download@article{10.11648/j.awcn.20150103.11,
author = {Korhan Cengiz},
title = {Time Varying Communication Channel Estimation Using Kalman Filters},
journal = {Advances in Wireless Communications and Networks},
volume = {1},
number = {3},
pages = {17-20},
doi = {10.11648/j.awcn.20150103.11},
url = {https://doi.org/10.11648/j.awcn.20150103.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.awcn.20150103.11},
abstract = {In this study, time varying channel estimation problem was realized by using Kalman Filters. In the first part of the study, the introduction and some definitions were given. In the second part, the problem was analyzed and some useful theoretical and practical informations were given. In the third part of the study, the method Kalman Filters were explained and the simulation algorithm was given. In the last part of the study the simulation results were given and these results were explained and commented.},
year = {2015}
}
TY - JOUR T1 - Time Varying Communication Channel Estimation Using Kalman Filters AU - Korhan Cengiz Y1 - 2015/11/13 PY - 2015 N1 - https://doi.org/10.11648/j.awcn.20150103.11 DO - 10.11648/j.awcn.20150103.11 T2 - Advances in Wireless Communications and Networks JF - Advances in Wireless Communications and Networks JO - Advances in Wireless Communications and Networks SP - 17 EP - 20 PB - Science Publishing Group SN - 2575-596X UR - https://doi.org/10.11648/j.awcn.20150103.11 AB - In this study, time varying channel estimation problem was realized by using Kalman Filters. In the first part of the study, the introduction and some definitions were given. In the second part, the problem was analyzed and some useful theoretical and practical informations were given. In the third part of the study, the method Kalman Filters were explained and the simulation algorithm was given. In the last part of the study the simulation results were given and these results were explained and commented. VL - 1 IS - 3 ER -
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