Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna
K. Sri Rama Krishna
1
,
K Jagadeesh Babu
2
,
J Lakshmi Narayana
2
,
L Pratap Reddy
3
,
G. V. Subrahmanyam
4
1
Department of Electronics and Communication Engineering, VR Siddhartha Engineering College, Vijayawada, India
|
2
Department of Electronics and Communication Engineering, St. Ann’s College of Engineering and Technology, Chirala, India
|
3
Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India
|
Publication type: Journal Article
Publication date: 2012-09-01
SJR: —
CiteScore: —
Impact factor: —
ISSN: 20952732, 20952740
General Medicine
Abstract
Awideband rectangular patch antenna resonating at 3.5 GHz and 8 GHz frequencies is developed on a flexible substrate, which can be used for wearable applications. The proposed antenna gives a wide impedance bandwidth of 116%, operating from 2.5 GHz to 9.5 GHz, covering most of the ultra-wideband (UWB) operating frequency range. A two-element multiple-input multiple-output (MIMO) system is developed using the proposed antenna, and the mutual coupling between the two antennas for various separations and frequencies is analyzed by using artificial neural networks (ANNs). The neural structure is trained by using different ANN algorithms and a comparative study is made between them. It is shown that, quasi-Newton (QN) and quasi-Newton multi layer perceptron (QN-MLP) algorithms are better in terms of training, testing errors, and correlation coefficient.
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Total citations:
3
Citations from 2024:
1
(33.33%)
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Sri Rama Krishna K. et al. Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna // Frontiers of Electrical and Electronic Engineering. 2012. Vol. 7. No. 3. pp. 293-298.
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Sri Rama Krishna K., Jagadeesh Babu K., Lakshmi Narayana J., Pratap Reddy L., Subrahmanyam G. V. Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna // Frontiers of Electrical and Electronic Engineering. 2012. Vol. 7. No. 3. pp. 293-298.
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RIS
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TY - JOUR
DO - 10.1007/s11460-012-0203-1
UR - https://doi.org/10.1007/s11460-012-0203-1
TI - Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna
T2 - Frontiers of Electrical and Electronic Engineering
AU - Sri Rama Krishna, K.
AU - Jagadeesh Babu, K
AU - Lakshmi Narayana, J
AU - Pratap Reddy, L
AU - Subrahmanyam, G. V.
PY - 2012
DA - 2012/09/01
PB - Springer Nature
SP - 293-298
IS - 3
VL - 7
SN - 2095-2732
SN - 2095-2740
ER -
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BibTex (up to 50 authors)
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@article{2012_Sri Rama Krishna,
author = {K. Sri Rama Krishna and K Jagadeesh Babu and J Lakshmi Narayana and L Pratap Reddy and G. V. Subrahmanyam},
title = {Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna},
journal = {Frontiers of Electrical and Electronic Engineering},
year = {2012},
volume = {7},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1007/s11460-012-0203-1},
number = {3},
pages = {293--298},
doi = {10.1007/s11460-012-0203-1}
}
Cite this
MLA
Copy
Sri Rama Krishna, K., et al. “Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna.” Frontiers of Electrical and Electronic Engineering, vol. 7, no. 3, Sep. 2012, pp. 293-298. https://doi.org/10.1007/s11460-012-0203-1.