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A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference

Kavita Devi1 , Rajneesh Talwar2

  1. I.K.G Punjab Technical University, Kapurthala, India.
  2. CGC Jhanjeri, I.K.G Punjab Technical University, Mohali, India.

Correspondence should be addressed to: kavita141@rediffmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 122-127, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.122127

Online published on Oct 30, 2017

Copyright © Kavita Devi, Rajneesh Talwar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kavita Devi, Rajneesh Talwar, “A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.122-127, 2017.

MLA Style Citation: Kavita Devi, Rajneesh Talwar "A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference." International Journal of Computer Sciences and Engineering 5.10 (2017): 122-127.

APA Style Citation: Kavita Devi, Rajneesh Talwar, (2017). A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference. International Journal of Computer Sciences and Engineering, 5(10), 122-127.

BibTex Style Citation:
@article{Devi_2017,
author = {Kavita Devi, Rajneesh Talwar},
title = {A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {122-127},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1486},
doi = {https://doi.org/10.26438/ijcse/v5i10.122127}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.122127}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1486
TI - A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference
T2 - International Journal of Computer Sciences and Engineering
AU - Kavita Devi, Rajneesh Talwar
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 122-127
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

In today’s mobile communication world, desired as well as interfering signals are mobile. Therefore, a fast tracking system is needed to constantly estimate the directions of those users and then adapt the radiation pattern of the antenna to direct multiple beams to desired users and nulls to sources of interference so that desired users get better quality signal with high SNR and to achieve this Artificial Neural Networks come to rescue to precisely predict which antenna element and the number of antenna elements in circular array to be activated to form better combined radiation pattern to be directed to user.

Key-Words / Index Term

Circular Array, Neural Network, SNR

References

[1] Mohamed A. Suliman, Ayed M. Alrashdi, Tarig Ballal, and Tareq Y. Al-Naffouri, “SNR Estimation in Linear Systems with Gaussian Matrices”, Issue 99, DOI 10.1109/LSP.2017.2757398, IEEE Signal Processing Letters
[2] A.H.EL Zooghby, C. G. Christodoulou, and M. Georgiopoulos, “Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays”, IEEE Transactions on Antennas and Propagation, Year: 1998, Vol. 46, Issue. 12, pp. 1891 – 1893, 1998.
[3] R.W. P King, “Super gain antennas and the Yagi and circular array”, IEEE Transaction, Antennas and Propagation, vol. 37, No 2, pp. 178-186, 1989.
[4] Ashraf Sharaqa, Nihad Dib, “Design of linear and circular antenna arrays using biogeography based optimization”, IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), pp. 1-6, 2011.
[5] D. Mandal, S. K. Ghoshal, S. Das, S. Bhattacharjee, and A. K. Bhattacharjee, “ Improvement of Radiation Pattern for Linear Antenna Arrays Using Genetic Algorithm”, 2010 International Conference on Recent Trends in Information, Telecommunication and Computing, IEEE, pp. 126-129, 2010.
[6] S. H. Zainud-Deen; H. A. Malhat; K. H. Awadalla; E. S. El-Hadad, “Direction of arrival and state of polarization estimation using Radial Basis Function Neural Network (RBFNN)”, National Radio Science Conference, pp. 1-8, 2008.
[7] C A Balanis, “Antenna Theory and Design” John Wiley & Sons, New York, pp. 321-330, 1997.
[8] S Haykin, “Neural Networks: A Comprehensive Foundation” 2nd edition, Prentice Hall, 1999.
[9] N.V. Saiteja Reddy and T. Srikanth, “Class Label Prediction using Back Propagation Algorithm: A comparative study with and without Thresholds (Bias)”, International Journal of Computer Sciences and Engineering, Vol. 3, Issue. 7, pp.65-70, 2015.