A Survey on Fault Finding Soft Computing Techniques in Antenna Array

Sunita Rani*, Jagtar Singh **
*-** Department of Electronics and Communication Engineering, Yadavindra College of Engineering, Talwandi Sabo, Punjab, India.
Periodicity:June - August'2020
DOI : https://doi.org/10.26634/jele.10.4.18125

Abstract

Antenna arrays consist of more than one patch element and are used in various wireless applications. If a single patch element is defective then degraded radiation pattern is obtained which affect the performance of an antenna array. So it has become a critical issue to detect faulty patch in antenna array. In this paper, ANN and FFT based approach has been used to detect number and position of defective patch in designed arrays. Several optimization methods have been applied to detect partial and complete fault in linear and planar antenna arrays. These techniques include Firefly Algorithm (FA), Bat Algorithm, Bacteria Foraging Optimization (BFO) and Cuckoo Search Algorithm (CSA). A cost function has been developed for error between faulty power patterns and estimated one. Minimum value of this cost function will detect the location of defective patch in array. A virtual instrument based model had also been developed for fault analysis in a fractal array.

Keywords

Antenna Array, Fault Detection, Artificial Neural Network, Fast Fourier Transform, Optimization Techniques, Virtual Instrument.

How to Cite this Article?

Rani, S., and Singh, J. (2020). A Survey on Fault Finding Soft Computing Techniques in Antenna Array. i-manager's Journal on Electronics Engineering, 10(4), 31-36. https://doi.org/10.26634/jele.10.4.18125

References

[1]. Acharya, O. P., Patnaik, A., & Choudhury, B. (2011, January). Fault finding in antenna arrays using bacteria foraging optimization technique. In 2011, National Conference on Communications (NCC) (pp. 1-5). IEEE. https://doi.org/10.1109/NCC.2011.5734761
[2]. Balanis, C. A. (2005). Antenna theory: Analysis and design. John Wiley and Sons.
[3]. Barison, A., Deo, P., & Mirshekar-Syahkal, D. (2014, April). A switched beam 60 GHz 2×2-element planar antenna array. In The 8th European Conference on Antennas and Propagation (EuCAP 2014) (pp. 1000-1002). IEEE. https://doi.org/10.1109/EuCAP.2014.6901934
[4]. Castaldi, G., Pierro, V., & Pinto, I. M. (2000). Efficient faulty element diagnostics of large antenna arrays by discrete mean field neural nets. Progress in Electromagnetics Research, 25, 53-76.
[5]. Choudhury, B., Pattanayak, S., & Patnaik, A. (2009, December). A genetically trained neural network application for fault finding in antenna arrays. In 2009, Applied Electromagnetics Conference (AEMC) (pp. 1-4). IEEE. https://doi.org/10.1109/AEMC.2009.5430646
[6]. Errifi, H., Baghdad, A., Badri, A., & Sahel, A. (2015). Design and analysis of directive microstrip patch array antennas with series, corporate and series-corporate feed network. International Journal of Electronics and Electrical Engineering, 3(6), 416-423. https://doi.org/10.12720/ijeee. 3.6.416-423
[7]. Grewal, N. S., Rattan, M., & Patterh, M. S. (2015, August). A linear antenna array failure detection using Bat Algorithm. In 2015, Eighth International Conference on Contemporary Computing (IC3) (pp. 202-207). IEEE.
[8]. Ince, T., Kiranyaz, S., Eren, L., Askar, M., & Gabbouj, M. (2016). Real-time motor fault detection by 1-D convolutional neural networks. IEEE Transactions on Industrial Electronics, 63(11), 7067-7075. https://doi.org/ 10.1109/TIE.2016.2582729
[9]. Khan, S. U., Qureshi, I. M., Zaman, F., Basit, A., & Khan, W. (2013). Application of firefly algorithm to fault finding in linear arrays antenna. World Applied Sciences Journal, 26(2), 232-238.
[10]. Khan, S. U., Rahim, M. K. A., Aminu-Baba, M., Khalil, A. E. K., & Sardar, A. (2018). Diagnosis of faulty elements in Array antenna using nature inspired cuckoo search algorithm. International Journal of Electrical and Computer Engineering, 8(3), 1870-1874.
[11]. Kumar, V. N. L., Satyanarayanana, M., Sridevi, P. V., & Parakash, M. S. (2014). Microstrip fractal linear array for multiband applications. In IEEE International Conference on Advanced Communication Control and Computing Technologies (pp.1818-1822).
[12]. Leoni, A., Pantoli, L., Stornelli, V., Leuzzi, G., & Marinkovic, Z. (2018). Automated calibration system for RF configurable voltage-controlled filters. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(8), 1034-1038. https://doi.org/10.1109/TCSII.2018.2790078
[13]. Malloux, R. J. (1994). Phased array antennas handbook. Artech House.
[14]. Muralidharan, R., Vallavaraj, A., Mahanti, G. K., & Mahanti, A. (2014). Finding defective elements in antenna array using fast Fourier transform. International Journal of Electronics and Electrical Engineering, 2(4), 336-339.
[15]. Pal, S., Roy, K., Nag, A., & Tiwary, A. K. (2014). Eshaped wide band microstrip array antenna for wireless communication systems. International Journal of Innovative Research in Science, Engineering and Technology, 3(6).
[16]. Patnaik, A., & Christodoulou, C. (2006, July). Finding failed element positions in linear antenna arrays using neural networks. In 2006, IEEE Antennas and Propagation Society International Symposium (pp. 1675-1678). IEEE. https://doi.org/10.1109/APS.2006.1710883
[17]. Patnaik, A., Choudhury, B., Pradhan, P., Mishra, R. K., & Christodoulou, C. (2007). An ANN application for fault finding in antenna arrays. IEEE Transactions on Antennas and Propagation, 55(3), 775-777. https://doi.org/10.1109/ TAP.2007.891557
[18]. Praveena, A., & Ponnapalli, V. S. (2019, January). A review on design aspects of fractal antenna arrays. In 2019, International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-3). IEEE. https://doi.org/10.1109/ICCCI.2019.8821860
[19]. Rani, S., & Sivia, J. S. (2020). Design and development of virtual instrument for fault diagnosis in fractal antenna array. International Journal of RF and Microwave Computer Aided Engineering, 30(1). https://doi.org/10.10 02/mmce.22026
[20]. Rastogi, S., & Paliwal, M. (2013). Comparative analysis of microstrip patch antenna in various clime. International Journal of Advances in Electronics and Electrical Engineering, 3, 607-612.
[21]. Rodriguez, J. A., Ares, F., Palacios, H., & Vassal'lo, J. (2000). Finding defective elements in planar arrays using genetic algorithms. Progress in Electromagnetics Research, 29, 25-37. https://doi.org/10.2528/PIER00011401
[22]. Vakula, D., & Sarma, N. V. S. N. (2009). Fault diagnosis of planar antenna arrays using neural networks. Progress in Electromagnetics Research, 6, 35-46. https://doi.org/10. 2528/PIERM09011204
[23]. Vakula, D., & Sarma, N. V. S. N. (2010). Using neural networks for fault detection in planar antenna arrays. Progress in Electromagnetics Research, 14, 21-30. https:// doi.org/10.2528/PIERL10030401
[24]. Yeo, B. K., & Lu, Y. (1999). Array failure correction with a genetic algorithm. IEEE Transactions on Antennas and Propagation, 47(5), 823-828. https://doi.org/10.1109/8.77 4136
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.